Triple
T30242248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Courcouronnes |
E768948
|
entity |
| Predicate | formerLocalGovernmentLevel |
P108771
|
FINISHED |
| Object | municipality |
—
|
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: municipality | Statement: [Courcouronnes, formerLocalGovernmentLevel, municipality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerLocalGovernmentLevel Context triple: [Courcouronnes, formerLocalGovernmentLevel, municipality]
-
A.
formerLocalAuthority
Indicates that an entity previously held the role or status of a local authority but no longer does so.
-
B.
formerLocalAuthorityArea
Indicates that one entity was previously a local authority administrative area that is associated with, or has been succeeded by, another entity.
-
C.
hasLocalGovernmentTier
Indicates that one administrative unit is organized or governed at a specific level within a multi-tier local government structure.
-
D.
formerMunicipalityType
chosen
Indicates that an entity was previously classified as a specific type of municipality but no longer holds that municipal status.
-
E.
hasHighestLevelOfLocalGovernment
Indicates that the subject entity is the top-tier or most authoritative level of local government within a given territorial or administrative area.
- 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_69f224820c048190b1435c4cc145acf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fed6da0390819096b88ef4714b144e |
completed | May 9, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69fed53517d081909966f31707625f1a |
completed | May 9, 2026, 6:33 a.m. |
Created at: April 29, 2026, 7:39 p.m.