Triple
T15090997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nebraska Highway 109 |
E360413
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
N-109
N-109 is a state highway in Nebraska that serves as a regional connector route within the state's road network.
|
E1136539
|
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: N-109 | Statement: [Nebraska Highway 109, abbreviation, N-109]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: N-109 Context triple: [Nebraska Highway 109, abbreviation, N-109]
-
A.
N-10
N-10 is a major coastal highway in Pakistan that runs along the Makran coast, connecting key towns and ports in the country’s southwest.
-
B.
N10
N10 is a numbered national route that intersects with South Africa’s major National Route N2 as part of the country’s primary road network.
-
C.
NE10
NE10 is the commonly used abbreviation for the Northeast-10 Conference, an NCAA Division II collegiate athletic conference in the northeastern United States.
-
D.
N104
N104 is a major ring road in the Île-de-France region, forming part of the Francilienne orbital route around Paris.
-
E.
N-90
N-90 is a national highway in Pakistan that serves as a key route connecting parts of the Khyber Pakhtunkhwa region to the broader national road network.
- 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: N-109 Triple: [Nebraska Highway 109, abbreviation, N-109]
Generated description
N-109 is a state highway in Nebraska that serves as a regional connector route within the state's road network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: N-109 Target entity description: N-109 is a state highway in Nebraska that serves as a regional connector route within the state's road network.
-
A.
N-10
N-10 is a major coastal highway in Pakistan that runs along the Makran coast, connecting key towns and ports in the country’s southwest.
-
B.
N10
N10 is a numbered national route that intersects with South Africa’s major National Route N2 as part of the country’s primary road network.
-
C.
NE10
NE10 is the commonly used abbreviation for the Northeast-10 Conference, an NCAA Division II collegiate athletic conference in the northeastern United States.
-
D.
N104
N104 is a major ring road in the Île-de-France region, forming part of the Francilienne orbital route around Paris.
-
E.
N-90
N-90 is a national highway in Pakistan that serves as a key route connecting parts of the Khyber Pakhtunkhwa region to the broader national road network.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0027925788190b955fdc6626adf7d |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae1d7a0c819096b035f8ca8d0e90 |
completed | May 9, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69feaf8e1b508190b0b5ceb64d44fad6 |
completed | May 9, 2026, 3:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb038065c8190b60266644db64092 |
completed | May 9, 2026, 3:55 a.m. |
Created at: April 10, 2026, 3:04 a.m.