Triple
T32775224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quebec–New York border |
E838181
|
entity |
| Predicate | nearCityInQuebec |
P98803
|
FINISHED |
| Object | Montreal |
—
|
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: Montreal | Statement: [Quebec–New York border, nearCityInQuebec, Montreal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearCityInQuebec Context triple: [Quebec–New York border, nearCityInQuebec, Montreal]
-
A.
distanceFromQuebecCity
Indicates the measured distance between a given place or object and Quebec City.
-
B.
distanceFromQuebecCityCentre
Indicates the measured spatial distance between a given location and the center of Quebec City.
-
C.
nearbySettlementCanada
chosen
Indicates that one settlement is geographically close to another settlement located in Canada.
-
D.
nearCityOnOntarioSide
Indicates that one entity is located close to a city that lies on the Ontario side of a border or region.
-
E.
capitalOfProvinceNearby
Indicates that a city serves as the capital of a province that is geographically close to a specified reference location or area.
- F. None of above.
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_69f3493a824c8190938489ba69041d08 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:13 a.m.