Triple
T9573647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biathlon at the 2002 Winter Olympics |
E230988
|
entity |
| Predicate | womenEvent |
P7453
|
FINISHED |
| Object | 7.5 km sprint |
—
|
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: 7.5 km sprint | Statement: [Biathlon at the 2002 Winter Olympics, womenEvent, 7.5 km sprint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: womenEvent Context triple: [Biathlon at the 2002 Winter Olympics, womenEvent, 7.5 km sprint]
-
A.
womenMainEventParticipants
Indicates that the referenced entities are participants in a main event specifically designated for women.
-
B.
womenEdition
Indicates that something is a version, issue, or release specifically tailored for or dedicated to women.
-
C.
womenStatus
Indicates the social, legal, economic, or cultural position or condition assigned to women within a given context or system.
-
D.
conferenceWomen'sTennis
Indicates a conference-level women's tennis competition or affiliation between teams or institutions.
-
E.
sportGender
chosen
Indicates that a sport or sporting event is associated with a particular gender category (e.g., men's, women's, mixed).
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99a94c788190a4bb5d2b676908ac |
completed | April 1, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69ccd59b960c8190966a8870a2426bd5 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:05 p.m.