Triple
T5449029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AASHTO Highway Safety Manual |
E122321
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
Highway Capacity Manual
The Highway Capacity Manual is a foundational transportation engineering reference that provides methodologies for analyzing and estimating the capacity, quality of service, and operational performance of roadway and transportation facilities.
|
E521683
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Highway Capacity Manual | Statement: [AASHTO Highway Safety Manual, relatedTo, Highway Capacity Manual]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Highway Capacity Manual Context triple: [AASHTO Highway Safety Manual, relatedTo, Highway Capacity Manual]
-
A.
AASHTO Highway Safety Manual
The AASHTO Highway Safety Manual is a foundational reference that provides data-driven methods and tools for predicting, evaluating, and improving roadway safety performance in transportation engineering and planning.
-
B.
A Policy on Geometric Design of Highways and Streets
A Policy on Geometric Design of Highways and Streets is a key engineering reference manual that sets widely used standards and guidelines for the geometric design of roads and streets in the United States.
-
C.
National Cooperative Highway Research Program
The National Cooperative Highway Research Program is a U.S. research initiative that develops practical, implementable solutions to improve the design, construction, operation, and maintenance of the nation’s highways.
-
D.
Planning, Programming and Modal Division of the Iowa Department of Transportation
The Planning, Programming and Modal Division of the Iowa Department of Transportation is the branch responsible for statewide transportation planning, project programming, and coordination of various transportation modes across Iowa.
-
E.
Highway Safety Improvement Program guidance
Highway Safety Improvement Program guidance is a set of federal guidelines and best practices that help transportation agencies plan, implement, and evaluate roadway safety improvements to reduce traffic fatalities and serious injuries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Highway Capacity Manual Triple: [AASHTO Highway Safety Manual, relatedTo, Highway Capacity Manual]
Generated description
The Highway Capacity Manual is a foundational transportation engineering reference that provides methodologies for analyzing and estimating the capacity, quality of service, and operational performance of roadway and transportation facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Highway Capacity Manual Target entity description: The Highway Capacity Manual is a foundational transportation engineering reference that provides methodologies for analyzing and estimating the capacity, quality of service, and operational performance of roadway and transportation facilities.
-
A.
AASHTO Highway Safety Manual
The AASHTO Highway Safety Manual is a foundational reference that provides data-driven methods and tools for predicting, evaluating, and improving roadway safety performance in transportation engineering and planning.
-
B.
A Policy on Geometric Design of Highways and Streets
A Policy on Geometric Design of Highways and Streets is a key engineering reference manual that sets widely used standards and guidelines for the geometric design of roads and streets in the United States.
-
C.
National Cooperative Highway Research Program
The National Cooperative Highway Research Program is a U.S. research initiative that develops practical, implementable solutions to improve the design, construction, operation, and maintenance of the nation’s highways.
-
D.
Planning, Programming and Modal Division of the Iowa Department of Transportation
The Planning, Programming and Modal Division of the Iowa Department of Transportation is the branch responsible for statewide transportation planning, project programming, and coordination of various transportation modes across Iowa.
-
E.
Highway Safety Improvement Program guidance
Highway Safety Improvement Program guidance is a set of federal guidelines and best practices that help transportation agencies plan, implement, and evaluate roadway safety improvements to reduce traffic fatalities and serious injuries.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91dbfd948190977513cf274af417 |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf413ab9d08190a00f007fbf0eb710 |
completed | March 22, 2026, 1:09 a.m. |
| NEDg | Description generation | batch_69bf44f9191c81909d415021021a8bf0 |
completed | March 22, 2026, 1:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf456f94e881908f69f5073c48987f |
completed | March 22, 2026, 1:27 a.m. |
Created at: March 20, 2026, 2:07 p.m.