Triple
T783910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corsica |
E16558
|
entity |
| Predicate | formerSubdivisionType |
P9832
|
FINISHED |
| Object | région of France |
—
|
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: région of France | Statement: [Corsica, formerSubdivisionType, région of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerSubdivisionType Context triple: [Corsica, formerSubdivisionType, région of France]
-
A.
formerSubunit
Indicates that one entity was previously a subunit or subordinate part of another entity, but no longer holds that status.
-
B.
countrySubdivisionType
chosen
Indicates the specific type or category of an administrative or territorial subdivision within a country (e.g., state, province, region).
-
C.
hasSubdivision
Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
-
D.
subdivisionRank
Indicates the hierarchical level or type of administrative or territorial subdivision that an entity occupies within a larger organizational or geographic structure.
-
E.
formerMunicipalityOf
Indicates that an entity was previously an independent municipality that has since been merged into or replaced by the referenced municipality.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a769dc6481908f12e872f997acf3 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a50db97c8190a1c55673f4a357b4 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.