Triple
T23776914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supreme Leader of the Islamic Emirate of Afghanistan |
E587699
|
entity |
| Predicate | associated_with_conflict |
P1406
|
FINISHED |
| Object | War in Afghanistan |
—
|
NE NERFINISHED |
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: War in Afghanistan | Statement: [Supreme Leader of the Islamic Emirate of Afghanistan, associated_with_conflict, War in Afghanistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associated_with_conflict Context triple: [Supreme Leader of the Islamic Emirate of Afghanistan, associated_with_conflict, War in Afghanistan]
-
A.
formedInConflict
Indicates that an entity came into existence as a direct result of, or during the course of, a specific conflict or war.
-
B.
conflictIn
chosen
Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
-
C.
associatedConflictImpact
Indicates a relationship where an entity is linked to a specific conflict and the effects or consequences that conflict has on it.
-
D.
mentionsConflict
Indicates that one entity refers to or discusses a dispute, disagreement, or conflict involving another entity.
-
E.
partnerInConflictWith
Indicates that two entities are engaged as opposing partners or sides within the same conflict or dispute.
- 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_69e2490d245881909028226a1393d624 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c46d55588190ad9c7e3c729b6b17 |
completed | April 29, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:16 p.m.