Triple
T19677042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notre-Dame-de-Grâce, Montreal |
E472478
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Villa-Maria station |
—
|
NE NERFINISHED |
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: Villa-Maria station | Statement: [Notre-Dame-de-Grâce, Montreal, servedBy, Villa-Maria station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villa-Maria station Context triple: [Notre-Dame-de-Grâce, Montreal, servedBy, Villa-Maria station]
-
A.
Villa-Maria station
chosen
Villa-Maria station is a Montreal Metro station on the Orange Line, serving the Côte-des-Neiges–Notre-Dame-de-Grâce borough near the historic Villa Maria school.
-
B.
Campolide station
Campolide station is a railway station in Lisbon, Portugal, serving suburban and cross-Tagus commuter trains.
-
C.
Bellavista station
Bellavista station is a passenger rail stop on the Valparaíso Metro system serving the coastal city of Valparaíso, Chile.
-
D.
Legarda station
Legarda station is an elevated rapid transit stop on Manila’s LRT Line 2 serving the Sampaloc area and nearby universities.
-
E.
Villafranca Station
Villafranca Station is a European Space Agency ground tracking facility in Spain that supports communication and data acquisition for various space missions as part of the ESTRACK network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641bceef881909c5b655af709c8c6 |
completed | April 20, 2026, 3:09 p.m. |
Created at: April 10, 2026, 1:45 p.m.