Triple
T2759428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gotham FC |
E61182
|
entity |
| Predicate | teamGenderCategory |
P35450
|
FINISHED |
| Object | women's team |
—
|
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: women's team | Statement: [Gotham FC, teamGenderCategory, women's team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamGenderCategory Context triple: [Gotham FC, teamGenderCategory, women's team]
-
A.
hasGenderedTeams
Indicates that the entity organizes or participates in teams that are separated or defined based on gender.
-
B.
hasGenderedTeam
chosen
Indicates that a team is organized or classified according to the gender of its members.
-
C.
genderCategories
Indicates the classification of an entity into one or more gender-related categories or identities.
-
D.
awardCategoryGender
Indicates that an award category is designated for recipients of a specific gender.
-
E.
sportGender
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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfc5e1c8190a5ac2c48d3eaeb0a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.