Triple

T29723937
Position Surface form Disambiguated ID Type / Status
Subject Abu al-Hasan al-Hashimi al-Qurashi E752127 entity
Predicate inConflictWith P4897 FINISHED
Object United States-led coalition against ISIL NE NERFINISHED

How this triple was built (1 step)

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: United States-led coalition against ISIL | Statement: [Abu al-Hasan al-Hashimi al-Qurashi, inConflictWith, United States-led coalition against ISIL]

Provenance (2 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_69f0d628c00c8190ab5ee7e423d7ec3c completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f672fe1b2881909acfdfed7c4a1ac2 completed May 2, 2026, 9:56 p.m.
Created at: April 28, 2026, 7:38 p.m.