Triple
T26133951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1962 Asian Games |
E659322
|
entity |
| Predicate | hostNationHeadOfState |
P112027
|
FINISHED |
| Object | Sukarno |
—
|
NE NERFINISHED |
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: Sukarno | Statement: [1962 Asian Games, hostNationHeadOfState, Sukarno]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostNationHeadOfState Context triple: [1962 Asian Games, hostNationHeadOfState, Sukarno]
-
A.
hostCountryLeader
chosen
Indicates that the referenced leader is the primary political head of the country in which the related event, visit, or interaction is taking place.
-
B.
headOfStateOf
Indicates that one entity serves as the chief public representative and highest-ranking official authority of another entity, typically a country or state.
-
C.
originCountryLeader
Indicates that one entity is the political leader (e.g., head of state or government) of the country from which the other entity originates.
-
D.
sharesHeadOfState
Indicates that two political entities have the same individual serving as their head of state.
-
E.
headOfStateInSystem
Indicates that an entity serves as the head of state within a specified political or governmental system.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60b950b1881909accde0c8547369f |
completed | May 2, 2026, 2:35 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 8:16 p.m.