Triple
T16830409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sainte-Thérèse |
E409132
|
entity |
| Predicate | hasMunicipalStatusInQuebec |
P37705
|
FINISHED |
| Object | ville |
—
|
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: ville | Statement: [Sainte-Thérèse, hasMunicipalStatusInQuebec, ville]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalStatusInQuebec Context triple: [Sainte-Thérèse, hasMunicipalStatusInQuebec, ville]
-
A.
isMunicipalStatus
chosen
Indicates that an entity possesses a specific legally defined municipal status or classification within a governmental or administrative system.
-
B.
isMunicipal
Indicates that something belongs to, is administered by, or is characteristic of a municipality or local city government.
-
C.
isProvincialLevelMunicipality
Indicates that a municipality holds the administrative status and authority of a province-level jurisdiction within a country’s governmental hierarchy.
-
D.
isProvincialCityOf
Indicates that a city serves as an administrative or officially designated city within a specified province.
-
E.
isRuralMunicipalityOf
Indicates that one entity is a rural municipality that is administratively or geographically part of, or governed by, another entity.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b316acc881909c686add53d72388 |
completed | April 18, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:23 a.m.