Triple
T5901115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States 3x3 women’s national basketball team |
E131226
|
entity |
| Predicate | eventAtTokyo2020 |
P67222
|
FINISHED |
| Object | women’s 3x3 basketball |
—
|
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 3x3 basketball | Statement: [United States 3x3 women’s national basketball team, eventAtTokyo2020, women’s 3x3 basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eventAtTokyo2020 Context triple: [United States 3x3 women’s national basketball team, eventAtTokyo2020, women’s 3x3 basketball]
-
A.
nextSummerOlympics
Indicates the relationship where a given time or event is associated with the immediately following occurrence of the Summer Olympic Games.
-
B.
olympicGames
Indicates that an entity is an edition or instance of the Olympic Games event.
-
C.
celebratedEvent
Indicates that an entity has been honored, commemorated, or festively observed as a special event.
-
D.
openedForOlympics
Indicates that something was opened or inaugurated specifically in preparation for or in conjunction with the Olympic Games.
-
E.
olympicGoldMedalInEvent
Indicates that an entity has won an Olympic gold medal in a specified sporting event.
- 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0334dc8248190b7394dcece362d52 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c0400dbec08190b2ef73689b2c0c31 |
completed | March 22, 2026, 7:16 p.m. |
Created at: March 22, 2026, 3:58 p.m.