Triple
T18853635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kendal Avenue |
E461112
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Dupont station |
E65506
|
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: Dupont station | Statement: [Kendal Avenue, near, Dupont station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dupont station Context triple: [Kendal Avenue, near, Dupont station]
-
A.
Dupont station
chosen
Dupont station is a Toronto Transit Commission subway station on Line 1, located in the Annex area of Toronto, Canada.
-
B.
Girard station
Girard station is a subway stop in Philadelphia, Pennsylvania, serving passengers on SEPTA’s Broad Street Line.
-
C.
Bir-Hakeim station
Bir-Hakeim station is a Paris Métro station on Line 6, located near the Eiffel Tower and serving the Grenelle area in the 15th arrondissement.
-
D.
Valence-Ville station
Valence-Ville station is the main conventional railway station in Valence, France, serving regional and national train services in the city center.
-
E.
Fontainebleau–Avon station
Fontainebleau–Avon station is a railway station in the town of Avon serving the Fontainebleau area in north-central France, providing regional and commuter rail connections to Paris and surrounding destinations.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05b4d8881909af0238f451b0e31 |
completed | April 20, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0567799c5c8190834e578cae97b3ba |
completed | May 14, 2026, 6:11 a.m. |
Created at: April 10, 2026, 11:56 a.m.