Triple
T13173400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oklahoma State Highway 16 |
E313034
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SH-16
SH-16 is a state highway in Oklahoma that serves as a regional route connecting several towns and rural areas in the state.
|
E1025691
|
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: SH-16 | Statement: [Oklahoma State Highway 16, abbreviation, SH-16]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SH-16 Context triple: [Oklahoma State Highway 16, abbreviation, SH-16]
-
A.
SH-1
SH-1 is the first-generation implementation of the SuperH 32-bit RISC microprocessor architecture developed for embedded systems.
-
B.
SH-5
SH-5 is a 64-bit member of the SuperH family of RISC microprocessor cores designed for embedded and high-performance applications.
-
C.
SH 165
SH 165 is a scenic state highway in Colorado that winds through the Wet Mountains and provides access to attractions such as Bishop Castle.
-
D.
SH-364
SH-364 is the Oklahoma state highway designation for the Creek Turnpike, a toll road serving the Tulsa metropolitan area.
-
E.
SH-3
SH-3 is a 32-bit member of the SuperH family of RISC microprocessor cores, designed for embedded systems and known for its compact, efficient instruction set.
- 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: SH-16 Triple: [Oklahoma State Highway 16, abbreviation, SH-16]
Generated description
SH-16 is a state highway in Oklahoma that serves as a regional route connecting several towns and rural areas in the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SH-16 Target entity description: SH-16 is a state highway in Oklahoma that serves as a regional route connecting several towns and rural areas in the state.
-
A.
SH-1
SH-1 is the first-generation implementation of the SuperH 32-bit RISC microprocessor architecture developed for embedded systems.
-
B.
SH-5
SH-5 is a 64-bit member of the SuperH family of RISC microprocessor cores designed for embedded and high-performance applications.
-
C.
SH 165
SH 165 is a scenic state highway in Colorado that winds through the Wet Mountains and provides access to attractions such as Bishop Castle.
-
D.
SH-364
SH-364 is the Oklahoma state highway designation for the Creek Turnpike, a toll road serving the Tulsa metropolitan area.
-
E.
SH-3
SH-3 is a 32-bit member of the SuperH family of RISC microprocessor cores, designed for embedded systems and known for its compact, efficient instruction set.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c303e3c819086cf0f0b6d9e61ca |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eafb81288190a6dcc3bd872998d8 |
completed | May 3, 2026, 6:28 a.m. |
| NEDg | Description generation | batch_69f6f18100148190bdb501b21d37e6af |
completed | May 3, 2026, 6:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f25118508190a35d88cfbdfd77ec |
completed | May 3, 2026, 6:59 a.m. |
Created at: April 9, 2026, 9:14 p.m.