Triple
T32405662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laval, Quebec |
E828070
|
entity |
| Predicate | isRegionalCountyMunicipalityEquivalent |
P174041
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Laval, Quebec, isRegionalCountyMunicipalityEquivalent, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRegionalCountyMunicipalityEquivalent Context triple: [Laval, Quebec, isRegionalCountyMunicipalityEquivalent, yes]
-
A.
isRuralMunicipalityOf
Indicates that one entity is a rural municipality that is administratively or geographically part of, or governed by, another entity.
-
B.
isMunicipalityInRegion
Indicates that a municipality is located within and administratively belongs to a specific region.
-
C.
municipalCountrySubdivision
Indicates that one administrative area functions as a municipal-level subdivision within the territory of a given country.
-
D.
isMunicipalFormationOf
Indicates that one administrative unit is formally established and recognized as the municipal formation corresponding to another territorial or administrative entity.
-
E.
hasCensusSubdivision
Indicates that an entity (typically a larger administrative area) includes or is associated with a specific census-defined subdivision within it.
- 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_69f34919342c8190a4c3bf35a90d4e58 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c24669948190aafbfe64ffbd1e73 |
completed | May 3, 2026, 3:34 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bb344bb48190a8089f29c0063ded |
completed | May 3, 2026, 3:04 a.m. |
Created at: May 1, 2026, 12:53 a.m.