Triple
T1670051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | York, Ontario |
E36102
|
entity |
| Predicate | hasSubwayStation |
P726
|
FINISHED |
| Object | Glencairn station |
E58432
|
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: Glencairn station | Statement: [York, Ontario, hasSubwayStation, Glencairn station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glencairn station Context triple: [York, Ontario, hasSubwayStation, Glencairn station]
-
A.
Glencairn station
chosen
Glencairn station is a subway station on Toronto’s Line 1 Yonge–University, serving the Glen Park neighborhood in the city’s north end.
-
B.
Brunstane railway station
Brunstane railway station is a suburban rail stop in Edinburgh, Scotland, serving local commuter services on the city’s rail network.
-
C.
Muirkirk station
Muirkirk station is a commuter rail stop in Maryland served by MARC’s Camden Line between Washington, D.C., and Baltimore.
-
D.
Highland station
Highland station is a SEPTA Regional Rail stop in Philadelphia, Pennsylvania, serving passengers on the Chestnut Hill West Line.
-
E.
Cupar railway station
Cupar railway station is a railway stop in Fife, Scotland, serving the town of Cupar on the Edinburgh to Aberdeen line.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa624285bc8190a763e99e548a3294 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad683461ec8190b442054443c472b3 |
completed | March 8, 2026, 12:14 p.m. |
Created at: March 4, 2026, 7:29 p.m.