Triple
T24544449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sa'i |
E607181
|
entity |
| Predicate | genderSegregationPractice |
P62384
|
FINISHED |
| Object | men and women perform together |
—
|
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 and women perform together | Statement: [Sa'i, genderSegregationPractice, men and women perform together]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genderSegregationPractice Context triple: [Sa'i, genderSegregationPractice, men and women perform together]
-
A.
hasGenderPractice
Indicates a relationship where an entity engages in, follows, or applies a particular gender-related practice, norm, or behavior.
-
B.
hasGenderDivisions
Indicates that something is organized, classified, or separated into groups based on gender.
-
C.
hasGenderPolicy
Indicates that an entity has adopted, implemented, or is governed by a specific policy related to gender issues or gender equality.
-
D.
genderIntegration
chosen
Indicates the extent to which individuals of different genders are included, mixed, or participate together within a given context or system.
-
E.
governsGender
Indicates that one entity determines or constrains the gender classification or gender-related properties of 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_69e2c4c9bf94819082d05da6f5c29907 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:26 a.m.