Triple
T10321486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurdish militias |
E242147
|
entity |
| Predicate | languageOfMembership |
P92545
|
FINISHED |
| Object | Kurdish |
—
|
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: Kurdish | Statement: [Kurdish militias, languageOfMembership, Kurdish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfMembership Context triple: [Kurdish militias, languageOfMembership, Kurdish]
-
A.
hasMemberLanguage
Indicates that one entity is a language that is a constituent or member of a larger language group, family, or collection represented by the other entity.
-
B.
languageOfExpression
Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
-
C.
macrolanguageMemberOf
Indicates that a language variety is classified as a member of a larger macrolanguage grouping.
-
D.
identityLanguage
Indicates that two language entities are identical or represent the same language.
-
E.
languageGroupSpoken
chosen
Indicates that a particular language group is spoken or used for communication by an 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f64a648190a79980d647898eb0 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:50 a.m.