Triple
T5971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Association of Commonwealth Universities |
E117
|
entity |
| Predicate | hasLeaderTitle |
P301
|
FINISHED |
| Object | Secretary-General |
—
|
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: Secretary-General | Statement: [Association of Commonwealth Universities, hasLeaderTitle, Secretary-General]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLeaderTitle Context triple: [Association of Commonwealth Universities, hasLeaderTitle, Secretary-General]
-
A.
headOfGovernmentTitle
Indicates the official title held by the person who serves as the head of a government.
-
B.
hasChancellor
Indicates that an entity holds the position or role of chancellor for another entity.
-
C.
honorificRank
chosen
Indicates that one entity holds a formal title or honorific status in relation to another entity.
-
D.
hasMayor
Indicates that one entity serves as the mayor of another entity, typically a city, town, or municipality.
-
E.
hasChampionships
Indicates that one entity possesses or has won one or more championships associated with another entity.
- 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_69a23bb612708190b09f25385e4b63d1 |
completed | Feb. 28, 2026, 12:49 a.m. |
| NER | Named-entity recognition | batch_69a2421836f08190b54fc40edeb1a96b |
completed | Feb. 28, 2026, 1:17 a.m. |
| PD | Predicate disambiguation | batch_69a23fe064c881909496fd0e6b0e18d7 |
completed | Feb. 28, 2026, 1:07 a.m. |
Created at: Feb. 28, 2026, 12:54 a.m.