Triple
T5230306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States women's national gymnastics team |
E118092
|
entity |
| Predicate | medalTypeContested |
P62518
|
FINISHED |
| Object | team all-around |
—
|
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: team all-around | Statement: [United States women's national gymnastics team, medalTypeContested, team all-around]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalTypeContested Context triple: [United States women's national gymnastics team, medalTypeContested, team all-around]
-
A.
medalType
Indicates the specific category or class of a medal associated with an award or achievement.
-
B.
medalIn
Indicates that an entity has received a medal or award in a particular event, field, or competition.
-
C.
includesMedal
Indicates that an entity’s set, collection, or record contains or features a particular medal as one of its elements.
-
D.
medalFor
Indicates that a medal is awarded to an entity in recognition of a specific achievement, action, or service.
-
E.
medalSport
Indicates that a medal was awarded in a particular sport or sporting discipline.
- F. None of above. chosen
Provenance (4 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b0093a88190aba381ba3f761408 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77bf1ef08190bb3487b3f3ee088c |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7aff0244819085c4799793ed0185 |
completed | March 20, 2026, 4:51 p.m. |
Created at: March 20, 2026, 1:48 p.m.