Triple
T6156389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Asia Summit |
E137330
|
entity |
| Predicate | meetsAnnually |
P47991
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [East Asia Summit, meetsAnnually, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meetsAnnually Context triple: [East Asia Summit, meetsAnnually, true]
-
A.
meetsEvery
Indicates that one entity encounters or comes into contact with every member of a specified set of entities.
-
B.
meetsRegularly
chosen
Indicates that two or more entities come together on a recurring or scheduled basis.
-
C.
meetsBetween
Indicates that one entity meets or encounters another at some point between two specified reference points or times.
-
D.
meetsAs
Indicates that two entities encounter or come together at the same place and time, typically in a planned or recognized interaction.
-
E.
meetsTo
Indicates that one entity comes together with another at a specific time and place for an encounter, appointment, or interaction.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d0376408190a2233375f478377e |
completed | March 22, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69c055f39e0881909ae56444b1b48929 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:17 p.m.