Triple
T22089035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Mixed Curling Championship |
E545864
|
entity |
| Predicate | hasWomenParticipants |
P122433
|
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: [World Mixed Curling Championship, hasWomenParticipants, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWomenParticipants Context triple: [World Mixed Curling Championship, hasWomenParticipants, yes]
-
A.
hasFemaleCompetitors
chosen
Indicates that an entity participates in a competitive context where at least some of the competitors are female.
-
B.
hasMaleAthletes
Indicates that an entity is associated with or includes one or more male athletes.
-
C.
womenMainEventParticipants
Indicates that the referenced entities are participants in a main event specifically designated for women.
-
D.
hasWomenRace
Indicates that an entity includes, organizes, or is associated with a race event specifically for women.
-
E.
hadFemaleMembers
Indicates that the subject group or organization included one or more female individuals among its members.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e47ba08190a208af72a7cc176f |
completed | April 28, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e71b20ec50819096ac196c798f8e3c |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:29 p.m.