Triple
T31814247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loi sur les cités et villes |
E812089
|
entity |
| Predicate | catégorieThématique |
P87
|
FINISHED |
| Object | législation du Québec |
—
|
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: législation du Québec | Statement: [Loi sur les cités et villes, catégorieThématique, législation du Québec]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catégorieThématique Context triple: [Loi sur les cités et villes, catégorieThématique, législation du Québec]
-
A.
tourCategory
Indicates the classification or type of a tour (e.g., by theme, style, or purpose) that the tour belongs to.
-
B.
themeExplores
Indicates that a work, action, or discourse centrally examines, investigates, or delves into a particular theme or subject.
-
C.
navigationCategory
Indicates that one entity is classified under, or associated with, a particular navigation-related category used for organizing or guiding access to content or locations.
-
D.
category
chosen
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
E.
categoryWithinFestival
Indicates that one category or sub-event is part of, or occurs within the scope of, a particular festival.
- 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_69f348e846c081908eb468a0665afd55 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:44 p.m.