Triple
T2471804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Committee of Permanent Representatives |
E54990
|
entity |
| Predicate | COREPER IIDealsWith |
P39678
|
FINISHED |
| Object | general affairs |
—
|
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: general affairs | Statement: [Committee of Permanent Representatives, COREPER IIDealsWith, general affairs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: COREPER IIDealsWith Context triple: [Committee of Permanent Representatives, COREPER IIDealsWith, general affairs]
-
A.
coreIdeal
Indicates that something is a fundamental, central principle or value that defines or strongly guides another entity.
-
B.
coalitionPartnerWith
Indicates that two entities are formally aligned in a cooperative coalition, sharing goals or actions as partners within that coalition.
-
C.
idealOfSetNotation
Indicates that one mathematical object is an ideal of another object, expressed using set-theoretic notation.
-
D.
coordinatedWith
Indicates that two or more entities have worked together in an organized, cooperative manner toward a shared task, goal, or activity.
-
E.
equivalentTo
Indicates that two entities represent the same concept, value, or state, and can be treated as interchangeable in the given context.
- F. None of above. chosen
Provenance (4 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_69ab49e279e88190ab10d7248aea9d11 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd1eb3be481908fa7c6b8f1c78209 |
completed | March 7, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69abd0b5e3d481909a5cbc4a96edd24f |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1e45380819094b3f32a278bd457 |
completed | March 7, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:45 p.m.