Triple
T19070123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rugby sevens |
E466768
|
entity |
| Predicate | teamGenderCategories |
P35850
|
FINISHED |
| Object | men |
—
|
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: men | Statement: [Rugby sevens, teamGenderCategories, men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamGenderCategories Context triple: [Rugby sevens, teamGenderCategories, men]
-
A.
genderCategories
Indicates the classification of an entity into one or more gender-related categories or identities.
-
B.
genderOfMascot
Indicates the gender associated with a particular mascot.
-
C.
hasGenderedTeams
chosen
Indicates that the entity organizes or participates in teams that are separated or defined based on gender.
-
D.
overseesGenderCategory
Indicates that one entity has responsibility for supervising, managing, or administering a particular gender category associated with another entity.
-
E.
hasGenderedTeam
Indicates that a team is organized or classified according to the gender of 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e19ea01c8190b9bb789da32f9a90 |
completed | April 20, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69e4b99f602881909eeb9c780597e0e6 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.