Triple
T3777487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Games of the I Olympiad |
E83341
|
entity |
| Predicate | womenParticipation |
P42182
|
FINISHED |
| Object | no official women events |
—
|
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: no official women events | Statement: [Games of the I Olympiad, womenParticipation, no official women events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: womenParticipation Context triple: [Games of the I Olympiad, womenParticipation, no official women events]
-
A.
womenStatus
chosen
Indicates the social, legal, economic, or cultural position or condition assigned to women within a given context or system.
-
B.
womenMainEventParticipants
Indicates that the referenced entities are participants in a main event specifically designated for women.
-
C.
womenRepresentationMechanism
Indicates the mechanism or process through which women’s representation or participation is ensured, structured, or facilitated in a given context.
-
D.
numberOfFemaleAthletes
Indicates the count of athletes who are female in a given context or group.
-
E.
participation
Indicates that an entity takes part in, contributes to, or is involved in a shared activity, event, or process with others.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc5d3dbc8190b6ab118a56acd5a3 |
completed | March 8, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69adc050cc5c81909d9855f866f3c26d |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:36 p.m.