Triple
T10303815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornhill |
E241697
|
entity |
| Predicate | hasNearbyUndergroundStation |
P5648
|
FINISHED |
| Object | Bank station |
E283368
|
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: Bank station | Statement: [Cornhill, hasNearbyUndergroundStation, Bank station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bank station Context triple: [Cornhill, hasNearbyUndergroundStation, Bank station]
-
A.
Bank station
chosen
Bank station is a major central London interchange on the Underground and Docklands Light Railway network, serving as a key hub in the City of London financial district.
-
B.
Terminal Station
Terminal Station is a passenger stop on Detroit Metropolitan Airport’s McNamara Terminal ExpressTram automated people mover system.
-
C.
Bay station
Bay station is a Toronto subway station located in the downtown area, serving the Bloor–Danforth line and providing access to the upscale Yorkville neighborhood.
-
D.
Station Basse
Station Basse is the lower terminal of the Montmartre funicular in Paris, serving as the entry point for passengers ascending the hill to the Sacré-Cœur area.
-
E.
Bus Stop
Bus Stop is a 1956 romantic comedy-drama film starring Marilyn Monroe as a small-town saloon singer pursued by a naive cowboy.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d308f034819098da69b963eb8a02 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d4f6c30819098bcdc77ba1836c3 |
completed | April 9, 2026, 3:30 a.m. |
Created at: April 6, 2026, 11:45 a.m.