Triple
T7978239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rabari community |
E185499
|
entity |
| Predicate | womenRole |
P60409
|
FINISHED |
| Object | embroidery production |
—
|
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: embroidery production | Statement: [Rabari community, womenRole, embroidery production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: womenRole Context triple: [Rabari community, womenRole, embroidery production]
-
A.
womenStatus
Indicates the social, legal, economic, or cultural position or condition assigned to women within a given context or system.
-
B.
genderRoleSignificance
chosen
Indicates the extent to which gender roles are considered important, influential, or defining within a given relationship, context, or interaction.
-
C.
femaleMass
Indicates that the subject has a mass value specifically associated with its female form or female population.
-
D.
reproductiveRole
Indicates the specific function or part an entity plays in biological reproduction within a reproductive process or system.
-
E.
femaleFeature
Indicates that the subject possesses a characteristic or attribute that is typically associated with females.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf84b1081908e60a556d984aad6 |
completed | March 31, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69cb047a8e4c81909b79e0f0bf56440c |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:14 p.m.