Triple
T38302988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ukraine men’s national gymnastics team |
E1032271
|
entity |
| Predicate | wonWorldTeamMedal |
P190620
|
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: [Ukraine men’s national gymnastics team, wonWorldTeamMedal, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonWorldTeamMedal Context triple: [Ukraine men’s national gymnastics team, wonWorldTeamMedal, true]
-
A.
wonMedalAt
Indicates that an entity received a medal as a result of participating in a specific event or competition.
-
B.
wonWorldLeagueGoldIn
Indicates that an entity achieved a gold medal victory in the World League competition in a specified year or edition.
-
C.
wonWorldCupGoldIn
Indicates that an entity achieved a gold medal victory in the World Cup during a specified event or year.
-
D.
WorldCupMedal
Indicates that an entity has received a medal (e.g., gold, silver, bronze) for its performance in a FIFA World Cup tournament.
-
E.
wonWorldCupSilverMedal
Indicates that an entity achieved second place and received a silver medal in a World Cup 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_69f76e0f2084819091299d021625c3fe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
| PDg | Predicate description generation | batch_69fccbd6b7688190b746803cf78d5704 |
completed | May 7, 2026, 5:28 p.m. |
Created at: May 3, 2026, 4:30 p.m.