Triple
T17299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G7 |
E342
|
entity |
| Predicate | hasChair |
P377
|
FINISHED |
| Object | rotating presidency |
—
|
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: rotating presidency | Statement: [G7, hasChair, rotating presidency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChair Context triple: [G7, hasChair, rotating presidency]
-
A.
chairperson
chosen
Indicates that one entity serves as the leader or head of a group, committee, or organization in relation to another entity.
-
B.
hasChancellor
Indicates that an entity holds the position or role of chancellor for another entity.
-
C.
hasPart
Indicates that one entity is a component, segment, or constituent part of another entity.
-
D.
hasPower
Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
-
E.
hasNotableMember
Indicates that a group, organization, or collection includes at least one member who is distinguished or noteworthy in some significant way.
- 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a242494a548190a5776fb6cad4d4af |
completed | Feb. 28, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69a23fedf0fc8190ad99bd1da297b14d |
completed | Feb. 28, 2026, 1:07 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.