Triple

T12777954
Position Surface form Disambiguated ID Type / Status
Subject Herzi Halevi E305426 entity
Predicate hasRankInOrganization P34138 FINISHED
Object Lieutenant general in the Israel Defense Forces 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: Lieutenant general in the Israel Defense Forces | Statement: [Herzi Halevi, hasRankInOrganization, Lieutenant general in the Israel Defense Forces]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRankInOrganization
Context triple: [Herzi Halevi, hasRankInOrganization, Lieutenant general in the Israel Defense Forces]
  • A. hasPositionInOrganization
    Indicates that an entity holds a specific role, job, or position within a particular organization.
  • B. rankWithinOrganization chosen
    Indicates the relative hierarchical position or level an entity holds within a specific organization.
  • C. hasOrganizationalRole
    Indicates that an entity holds a specific role, position, or function within an organization.
  • D. parentOrganizationRank
    Indicates the hierarchical level or rank of a parent organization relative to other organizations in the same structure.
  • E. hasRankOrTitle
    Indicates that an entity holds, is assigned, or is associated with a specific rank, title, or formal designation.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e595e008190b42dff3012d17d66 completed April 10, 2026, 9:40 p.m.
PD Predicate disambiguation batch_69d9640ba0688190973e4e7ec8d4a8e0 completed April 10, 2026, 8:56 p.m.
Created at: April 9, 2026, 5:29 p.m.