Triple
T2692429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glencairn station |
E58432
|
entity |
| Predicate | isSouthOf |
P9676
|
FINISHED |
| Object | Lawrence West station |
E76759
|
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: Lawrence West station | Statement: [Glencairn station, isSouthOf, Lawrence West station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawrence West station Context triple: [Glencairn station, isSouthOf, Lawrence West station]
-
A.
Lawrence West station
chosen
Lawrence West station is a subway station on Toronto's Line 1 Yonge–University, serving the Lawrence Heights and surrounding North York area.
-
B.
Lawrence station
Lawrence station is a Toronto Transit Commission subway station on Line 1 Yonge–University, serving the Lawrence Avenue and Yonge Street area in midtown Toronto.
-
C.
Lawrence station
Lawrence station is a commuter rail stop in Lawrence, Massachusetts, served by the MBTA on its Haverhill Line.
-
D.
Westwood station
Westwood station is a New Jersey Transit commuter rail stop in Westwood, New Jersey, serving passengers on the Pascack Valley Line.
-
E.
Laurel station
Laurel station is a commuter rail stop in Laurel, Maryland, served by MARC's Camden Line between Washington, D.C., and Baltimore.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda0dd97c81909a60cf200f57c087 |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f26de488190ac6050638278f988 |
completed | March 12, 2026, 12:56 a.m. |
Created at: March 6, 2026, 9:54 p.m.