Triple
T2272700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larisa Latynina |
E50695
|
entity |
| Predicate | competedInDiscipline |
P37610
|
FINISHED |
| Object | women’s artistic gymnastics 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: women’s artistic gymnastics all-around | Statement: [Larisa Latynina, competedInDiscipline, women’s artistic gymnastics all-around]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competedInDiscipline Context triple: [Larisa Latynina, competedInDiscipline, women’s artistic gymnastics all-around]
-
A.
competedFor
Indicates that an entity took part in a contest, rivalry, or competition in pursuit of another entity (such as a prize, position, or resource).
-
B.
hasCompetition
Indicates that one entity is in a state of rivalry or contest with another entity, typically competing for the same goal, resource, or advantage.
-
C.
competitionOf
Indicates a relationship where one entity is the competitive event, contest, or rivalry involving another entity.
-
D.
usedInCompetition
Indicates that something is employed or utilized as part of a competition or contest.
-
E.
qualifyingCompetitionFor
Indicates that one competition serves as a qualifying event for participation in another competition.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc39c6ff0819081a07696f1c29990 |
completed | March 7, 2026, 6:20 a.m. |
| PD | Predicate disambiguation | batch_69abbdb7719081909143efa8f48df4e4 |
completed | March 7, 2026, 5:55 a.m. |
| PDg | Predicate description generation | batch_69abc39b2f548190a38f604e0d36db3a |
completed | March 7, 2026, 6:20 a.m. |
Created at: March 4, 2026, 7:48 p.m.