Triple
T5901114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States 3x3 women’s national basketball team |
E131226
|
entity |
| Predicate | medalTypeAtTokyo2020 |
P26560
|
FINISHED |
| Object | gold |
—
|
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: gold | Statement: [United States 3x3 women’s national basketball team, medalTypeAtTokyo2020, gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalTypeAtTokyo2020 Context triple: [United States 3x3 women’s national basketball team, medalTypeAtTokyo2020, gold]
-
A.
medalType
chosen
Indicates the specific category or class of a medal associated with an award or achievement.
-
B.
medalSport
Indicates that a medal was awarded in a particular sport or sporting discipline.
-
C.
medalShape
Indicates the geometric form or outline that characterizes a particular medal.
-
D.
medalEventsFor
Indicates a relationship where one entity lists or specifies the medal-awarding events associated with another entity.
-
E.
OlympicMedal
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
- 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_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. |
Created at: March 22, 2026, 3:58 p.m.