Triple
T20543296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Artistic Gymnastics Championships |
E504400
|
entity |
| Predicate | womenEvents |
P89886
|
FINISHED |
| Object | vault |
—
|
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: vault | Statement: [World Artistic Gymnastics Championships, womenEvents, vault]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: womenEvents Context triple: [World Artistic Gymnastics Championships, womenEvents, vault]
-
A.
eventsForWomen
chosen
Indicates that the associated events are intended for, targeted at, or specifically involve women.
-
B.
individualEvents
Indicates that the subject is associated with one or more distinct, separately identifiable events rather than a single aggregated or continuous occurrence.
-
C.
womenMainEventParticipants
Indicates that the referenced entities are participants in a main event specifically designated for women.
-
D.
organisedEvent
Indicates that an entity planned, coordinated, and carried out an event.
-
E.
womenTraining
Indicates that one or more women are engaged in a training activity or process.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a293feac8190b27848b64f2db1fe |
completed | April 20, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:38 a.m.