Triple
T2551485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commission of national representatives |
E56635
|
entity |
| Predicate | hasCollaborationType |
P19448
|
FINISHED |
| Object | intergovernmental collaboration |
—
|
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: intergovernmental collaboration | Statement: [Commission of national representatives, hasCollaborationType, intergovernmental collaboration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollaborationType Context triple: [Commission of national representatives, hasCollaborationType, intergovernmental collaboration]
-
A.
isCollaboration
Indicates that two or more entities are jointly working together toward a shared goal or producing something in partnership.
-
B.
collaborationOf
Indicates a relationship in which two or more entities work together jointly toward a shared goal or outcome.
-
C.
hasPartnershipType
Indicates the specific kind or category of partnership relationship that exists between entities.
-
D.
cooperationType
chosen
Indicates the specific kind or form of cooperative relationship that exists between the related entities.
-
E.
collaborationModel
Indicates the type or structure of cooperative interaction or joint work established between entities.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd5a33234819082ad49fa6594b6be |
completed | March 7, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69abd0c8b6f08190a68645db3e8b779a |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.