Triple
T32425310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ama diving tradition |
E828560
|
entity |
| Predicate | typicalGenderOfDivers |
P187733
|
FINISHED |
| Object | female |
—
|
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: female | Statement: [Ama diving tradition, typicalGenderOfDivers, female]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalGenderOfDivers Context triple: [Ama diving tradition, typicalGenderOfDivers, female]
-
A.
alsoIncludesGenderOfDivers
Indicates that the referenced set or category additionally encompasses the gender identity of divers.
-
B.
genderOfMembers
Indicates the gender or genders associated with the members of a group or organization.
-
C.
hasTypicalGenderAssociation
Indicates that one entity is commonly or culturally associated with a particular gender more than with other genders.
-
D.
genderTypically
chosen
Indicates that something is most commonly or traditionally associated with a particular gender.
-
E.
genderOfCompetitors
Indicates the gender category or composition of the participants involved in a competition or competitive event.
- 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_69f3491b28bc8190b75cea7a507f337b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:54 a.m.