Triple
T30733807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | اسد |
E782490
|
entity |
| Predicate | جنسیت معمول |
P72
|
FINISHED |
| Object | مذکر |
—
|
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: مذکر | Statement: [اسد, جنسیت معمول, مذکر]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: جنسیت معمول Context triple: [اسد, جنسیت معمول, مذکر]
-
A.
genderSpecificity
Indicates whether the relationship or action applies specifically to a particular gender or is gender-neutral.
-
B.
sexOrGender
chosen
Indicates that one entity has a specified biological sex or socially constructed gender identity.
-
C.
sexType
Indicates the specific category or type of sexual activity or sexual relationship involved between entities.
-
D.
hasTypicalGenderAssociation
Indicates that one entity is commonly or culturally associated with a particular gender more than with other genders.
-
E.
genderConfiguration
Indicates how the genders of the involved entities are arranged or combined within a particular relationship or context.
- 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_69f224ad9f9c81908e02a79ae0001137 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68ee54d1c8190a4c020394f7fb19a |
completed | May 2, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:37 p.m.