Triple
T16172689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Communes of Haute-Garonne |
E392477
|
entity |
| Predicate | includeMajorCity |
P35166
|
FINISHED |
| Object | Toulouse commune |
—
|
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: Toulouse commune | Statement: [Communes of Haute-Garonne, includeMajorCity, Toulouse commune]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includeMajorCity Context triple: [Communes of Haute-Garonne, includeMajorCity, Toulouse commune]
-
A.
hasMajorCity
Indicates that a location possesses at least one city of significant size, importance, or influence within its region or country.
-
B.
includesMajorMetropolitanArea
chosen
Indicates that one entity geographically contains or encompasses a major metropolitan area within its boundaries.
-
C.
isMajorCityIn
Indicates that a city is a primary or significant urban center located within a specified larger region or country.
-
D.
hasMajorCityRole
Indicates that an entity plays a significant official or functional role in the governance, administration, or key operations of a major city.
-
E.
majorUrbanCenterIn
Indicates that a city or metropolitan area functions as a primary or significant urban center within the specified region or administrative unit.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb88c948190a1d8b5518694ad53 |
completed | April 17, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.