Triple
T29038980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | women's 100 metres |
E737941
|
entity |
| Predicate | worldChampionshipDiscipline |
P89164
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [women's 100 metres, worldChampionshipDiscipline, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldChampionshipDiscipline Context triple: [women's 100 metres, worldChampionshipDiscipline, yes]
-
A.
WorldChampionshipsDiscipline
chosen
Indicates the specific discipline or event category in which a world championship competition is held or a title is contested.
-
B.
worldCupDiscipline
Indicates a disciplinary action (such as a card, suspension, or sanction) given to an entity in the context of a World Cup competition.
-
C.
WorldCupDiscipline
Indicates a disciplinary action (such as a card, suspension, or sanction) imposed on an entity in the context of a FIFA World Cup competition.
-
D.
sportDisciplineScope
Indicates the specific sport discipline or category within which a given relationship, rule, or activity is defined or applies.
-
E.
worldCupDebutDiscipline
Indicates the specific sporting discipline in which an entity made its first appearance at a World Cup event.
- 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: April 28, 2026, 10 a.m.