Triple

T10759183
Position Surface form Disambiguated ID Type / Status
Subject Islamic civil wars E253778 entity
Predicate hasConsequence P812 FINISHED
Object strengthening of regional and tribal identities within the caliphate LITERAL FINISHED

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: strengthening of regional and tribal identities within the caliphate | Statement: [Islamic civil wars, hasConsequence, strengthening of regional and tribal identities within the caliphate]

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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d72ea21c5081908babc049d0330a75 completed April 9, 2026, 4:44 a.m.
Created at: April 8, 2026, 9:16 p.m.