Triple
T23361316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diamaré |
E593190
|
entity |
| Predicate | belongsToStateStructure |
P20710
|
FINISHED |
| Object | unitary state of Cameroon |
—
|
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: unitary state of Cameroon | Statement: [Diamaré, belongsToStateStructure, unitary state of Cameroon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToStateStructure Context triple: [Diamaré, belongsToStateStructure, unitary state of Cameroon]
-
A.
hasCrossStateStructure
Indicates that a structure spans or connects multiple states or state-level jurisdictions.
-
B.
belongsToNationState
chosen
Indicates that an entity is a member, part, or constituent of a specific nation-state, reflecting a formal or recognized association with that country.
-
C.
associatedState
Indicates that one entity is linked or connected to a particular state, condition, or status of another entity.
-
D.
belongsToRegistry
Indicates that an entity is officially recorded as part of a specific registry or registered collection.
-
E.
isMemberStateRelationOf
Indicates that one entity is a member state within, or in a member-state relationship to, another entity such as an organization, union, or federation.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0a8669c819098b88ae6712e3f88 |
completed | April 29, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:30 p.m.