Triple
T10755193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mata-Utu |
E253671
|
entity |
| Predicate | belongsToCollectivityType |
P3292
|
FINISHED |
| Object | overseas collectivity 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: overseas collectivity of France | Statement: [Mata-Utu, belongsToCollectivityType, overseas collectivity of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToCollectivityType Context triple: [Mata-Utu, belongsToCollectivityType, overseas collectivity of France]
-
A.
collectivityStatus
Indicates the state or condition of being part of a collective group versus being individual or separate.
-
B.
belongsToSystemType
Indicates that one entity is classified under, or is a member of, a particular system type.
-
C.
hasCommunityType
chosen
Indicates that an entity is associated with or classified under a particular type or category of community.
-
D.
isCommunityOf
Indicates that one entity functions as a community composed of, or defined by, the members or elements represented by the other entity.
-
E.
belongsToAgency
Indicates that an entity is under the authority, control, or affiliation of a specific agency.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d72e9d0f688190a9be024929d2f960 |
completed | April 9, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69d6f311529c819080ca5493d55d6050 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:15 p.m.