Triple
T1689435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitehall Terminal |
E36517
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Bowling Green |
E97404
|
NE FINISHED |
How this triple was built (2 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: Bowling Green | Statement: [Whitehall Terminal, locatedNear, Bowling Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bowling Green Context triple: [Whitehall Terminal, locatedNear, Bowling Green]
-
A.
Bowling Green
chosen
Bowling Green is a small public park and historic site in Lower Manhattan, New York City, known as the city’s oldest park and for its proximity to the Financial District and Wall Street.
-
B.
Bowling Green, Kentucky
Bowling Green, Kentucky is a city in south-central Kentucky best known as the home of the Chevrolet Corvette’s manufacturing plant and the National Corvette Museum.
-
C.
Syracuse
Syracuse is a mid-sized city in central New York State known for Syracuse University, its role as a regional economic and cultural hub, and its snowy winters.
-
D.
Syracuse
Syracuse is an ancient and historically significant city on the eastern coast of Sicily, renowned as a powerful Greek colony and cultural center in antiquity.
-
E.
Belmont
Belmont is a suburban district within the London Borough of Harrow, known for its residential character and local shopping and community facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6296655c8190835ec0d20f7460ca |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad7992792081909af4312ae8a448a2 |
completed | March 8, 2026, 1:28 p.m. |
Created at: March 4, 2026, 7:29 p.m.