Triple

T21649370
Position Surface form Disambiguated ID Type / Status
Subject Jehu E534295 entity
Predicate militaryRankBeforeKingship P80252 FINISHED
Object army commander 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: army commander | Statement: [Jehu, militaryRankBeforeKingship, army commander]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: militaryRankBeforeKingship
Context triple: [Jehu, militaryRankBeforeKingship, army commander]
  • A. militaryRankBeforeAccession chosen
    Indicates the military rank held by an individual prior to their accession to a particular office, position, or status.
  • B. militaryRankBeforeSultan
    Indicates that one entity held a specific military rank prior to becoming a sultan.
  • C. rankBeforeKingship
    Indicates that one entity held a higher or earlier rank or status than another entity prior to that other entity attaining kingship.
  • D. militaryRank
    Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
  • E. militaryRankScope
    Indicates the hierarchical level or range of authority that a military rank applies to within an organizational or operational context.
  • 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef59131c88819082df8e5b87f5954b completed April 27, 2026, 12:39 p.m.
PD Predicate disambiguation batch_69e696826c3c81909270791e79760937 completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:35 p.m.