Triple
T27466612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Diamonds |
E693191
|
entity |
| Predicate | clubGender |
P73600
|
FINISHED |
| Object | men's football |
—
|
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's football | Statement: [The Diamonds, clubGender, men's football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubGender Context triple: [The Diamonds, clubGender, men's football]
-
A.
genderOfMascot
Indicates the gender associated with a particular mascot.
-
B.
parentClubGender
chosen
Indicates the gender category (e.g., men’s, women’s, mixed) associated with the parent club in a club–team or club–division relationship.
-
C.
eligiblePlayersGender
Indicates that the relationship specifies which player genders are allowed or considered eligible in a given context.
-
D.
genderOfMembers
Indicates the gender or genders associated with the members of a group or organization.
-
E.
hasGenderedTeams
Indicates that the entity organizes or participates in teams that are separated or defined based on gender.
- 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_69ef538105548190a771cc5a0cf8c211 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62dfd746481908fead735f9ccd021 |
completed | May 2, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 12:52 p.m.