Triple
T20543309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Artistic Gymnastics Championships |
E504400
|
entity |
| Predicate | apparatusTitleAwarded |
P2680
|
FINISHED |
| Object | world champion on each apparatus |
—
|
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: world champion on each apparatus | Statement: [World Artistic Gymnastics Championships, apparatusTitleAwarded, world champion on each apparatus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: apparatusTitleAwarded Context triple: [World Artistic Gymnastics Championships, apparatusTitleAwarded, world champion on each apparatus]
-
A.
describesApparatus
Indicates that one entity provides a description or specification of an apparatus used by another entity or within a particular context.
-
B.
awardsTitle
chosen
Indicates that an entity confers or grants a specific title or honorific designation to another entity.
-
C.
hasTypeOfApparatus
Indicates that one entity is associated with, or utilizes, a specific kind or category of apparatus.
-
D.
qualificationAwardedBy
Indicates that a particular qualification was granted or conferred by a specific awarding body or institution.
-
E.
awardName
Indicates the specific name or title of an award associated with an 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_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.