Triple
T27869891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ITA |
E704462
|
entity |
| Predicate | representsGenderCategory |
P173630
|
FINISHED |
| Object | men's national 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: men's national team | Statement: [ITA, representsGenderCategory, men's national team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsGenderCategory Context triple: [ITA, representsGenderCategory, men's national team]
-
A.
genderOfCategory
chosen
Indicates that a given category or class is associated with a particular gender.
-
B.
hasGenderRepresentation
Indicates that something includes, reflects, or portrays one or more genders within its content, structure, or composition.
-
C.
genderCategories
Indicates the classification of an entity into one or more gender-related categories or identities.
-
D.
genderCategoryIncludes
Indicates that a given gender category encompasses or contains the specified gender identity or subgroup.
-
E.
overseesGenderCategory
Indicates that one entity has responsibility for supervising, managing, or administering a particular gender category associated with another entity.
- 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_69ef840f12408190b539d00d79658abf |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: April 27, 2026, 6:23 p.m.