Triple
T8881859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurdistan Free Life Party |
E211429
|
entity |
| Predicate | ethnoPoliticalConflict |
P85501
|
FINISHED |
| Object | Kurdish–Iranian conflict |
—
|
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–Iranian conflict | Statement: [Kurdistan Free Life Party, ethnoPoliticalConflict, Kurdish–Iranian conflict]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnoPoliticalConflict Context triple: [Kurdistan Free Life Party, ethnoPoliticalConflict, Kurdish–Iranian conflict]
-
A.
politicalConflict
Indicates a relationship where entities are engaged in opposing political positions, struggles, or disputes, often involving competition for power, influence, or policy outcomes.
-
B.
conflictCountry
Indicates that there is an armed conflict or war involving the referenced country as a participant.
-
C.
causeOfPoliticalConflict
Indicates that one entity is the source or reason for a political conflict involving another entity.
-
D.
religiousConflictBetween
Indicates a relationship where two entities are in opposition or dispute due to differing religious beliefs, practices, or affiliations.
-
E.
regionOfConflict
Indicates that a specified region is the location where a particular conflict or dispute takes place.
- F. None of above. chosen
Provenance (4 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6168e3d881908c58cf11cf5f9a0e |
completed | April 1, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2956788190a311c647b4da17a6 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5d6e54808190af4156edd4c8ffbc |
completed | March 31, 2026, 11:49 p.m. |
Created at: March 30, 2026, 6:53 p.m.