Triple
T2429890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huddersfield Line |
E52816
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Greenfield |
E54101
|
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: Greenfield | Statement: [Huddersfield Line, passesThrough, Greenfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenfield Context triple: [Huddersfield Line, passesThrough, Greenfield]
-
A.
Greenfield
Greenfield is a town located within Saratoga County in the state of New York, United States.
-
B.
Greenfield
chosen
Greenfield is a village in the Saddleworth area of Oldham, Greater Manchester, England, situated on the edge of the Pennines.
-
C.
Fairview
Fairview is a community in Alameda County, California, situated adjacent to the city of Hayward in the San Francisco Bay Area.
-
D.
Fairview
Fairview is a residential neighborhood located within the city of Camden, New Jersey.
-
E.
Upland
Upland is a suburban city in Southern California’s Inland Empire, located at the foot of the San Gabriel Mountains.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc99fcd048190a85b95a9a8ae6d4d |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf6634a48190af82eab6b9750323 |
completed | March 9, 2026, 12:39 p.m. |
Created at: March 6, 2026, 9:43 p.m.