Triple
T4715432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danforth Avenue |
E104624
|
entity |
| Predicate | hasTransitStation |
P726
|
FINISHED |
| Object | Pape station |
E239033
|
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: Pape station | Statement: [Danforth Avenue, hasTransitStation, Pape station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pape station Context triple: [Danforth Avenue, hasTransitStation, Pape station]
-
A.
Pape station
chosen
Pape station is a subway station in Toronto, Ontario, serving the city's Bloor–Danforth line in the Greektown area.
-
B.
Bonaventure station
Bonaventure station is a major Montreal Metro station in downtown Montreal, Quebec, serving as an important transit hub near key commercial and entertainment venues.
-
C.
Mabillon station
Mabillon station is a Paris Métro station in the 6th arrondissement, serving the Saint-Germain-des-Prés area on the Left Bank.
-
D.
Oriente station
Oriente station is a major multimodal transport hub in Lisbon, Portugal, serving as a key connection point for trains, metro, buses, and regional services.
-
E.
Pie-IX station
Pie-IX station is a Montreal Metro station on the Green Line, serving the Hochelaga-Maisonneuve area and providing access to attractions such as the Olympic Stadium and the Montreal Botanical Garden.
- 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6408dc5c8190a8d6b1c1a3eba2df |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be39f7316c8190a6ecd65b707d3fbe |
completed | March 21, 2026, 6:25 a.m. |
Created at: March 20, 2026, 1:18 p.m.