Triple
T31547958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westmount—Ville-Marie |
E804917
|
entity |
| Predicate | includedNeighbourhood |
P199257
|
FINISHED |
| Object | Golden Square Mile |
—
|
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: Golden Square Mile | Statement: [Westmount—Ville-Marie, includedNeighbourhood, Golden Square Mile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedNeighbourhood Context triple: [Westmount—Ville-Marie, includedNeighbourhood, Golden Square Mile]
-
A.
hasNeighbourhood
Indicates that one entity is located within, or is associated with, a particular neighborhood area of another entity.
-
B.
originatedInNeighborhood
Indicates that an entity began, was founded, or first came into existence within a specific neighborhood.
-
C.
isPartOfNeighborhoodArea
chosen
Indicates that one area or unit is contained within or belongs to a specific neighborhood area.
-
D.
notableNeighborhoodType
Indicates that a neighborhood is notably characterized by, or strongly associated with, a particular type or category (e.g., residential, commercial, historic).
-
E.
neighborhood
Indicates that one entity is located in close spatial proximity to another, typically within the same local area or district.
- 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_69f348d11a048190a65eb8384a3754ac |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a01487b73488190954eb5143e6f246e |
completed | May 11, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_6a0145210ae481908da59b02efdbc397 |
completed | May 11, 2026, 2:55 a.m. |
Created at: April 30, 2026, 10:09 p.m.