Triple
T4147666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maisonneuve Park |
E89824
|
entity |
| Predicate | isUrbanOasisFor |
P54615
|
FINISHED |
| Object | residents of Montreal |
—
|
LITERAL 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: residents of Montreal | Statement: [Maisonneuve Park, isUrbanOasisFor, residents of Montreal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUrbanOasisFor Context triple: [Maisonneuve Park, isUrbanOasisFor, residents of Montreal]
-
A.
isUrbanPark
Indicates that a location is designated and used as a public park within an urban or metropolitan area.
-
B.
isUrbanForest
Indicates that an area of trees and vegetation is located within or closely integrated with an urban or suburban environment.
-
C.
isUrbanDistrict
Indicates that a given district is classified as an urban administrative or residential area rather than a rural one.
-
D.
isUrbanNeighborhood
Indicates that a given area functions as a neighborhood located within an urban or city environment.
-
E.
isUrbanParkAdjacent
Indicates that an urban park is directly next to or shares a boundary with another specified area or feature.
- F. None of above. chosen
Provenance (4 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af033ef6648190adde17f943d89c78 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018c101081909070da5b11e5eb3d |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af033d94888190b34349e355b874ef |
completed | March 9, 2026, 5:28 p.m. |
Created at: March 9, 2026, 3:43 p.m.