Triple

T238670
Position Surface form Disambiguated ID Type / Status
Subject David Ben-Gurion E4879 entity
Predicate militaryRole P9463 FINISHED
Object oversaw creation of the Israel Defense Forces (IDF) 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: oversaw creation of the Israel Defense Forces (IDF) | Statement: [David Ben-Gurion, militaryRole, oversaw creation of the Israel Defense Forces (IDF)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: militaryRole
Context triple: [David Ben-Gurion, militaryRole, oversaw creation of the Israel Defense Forces (IDF)]
  • A. militaryFunction
    Indicates a relationship where an entity serves a specific role, duty, or operational purpose within a military context.
  • B. militaryRank
    Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
  • C. peacetimeRole
    Indicates the role, function, or duties an entity holds during periods of peace rather than during wartime or conflict.
  • D. hasMilitaryBranch
    Indicates that an entity is associated with, served in, or is part of a specific branch of a military organization.
  • E. militaryCharacteristic
    Indicates that one entity possesses a specific military-related attribute, quality, or feature in relation to another entity or context.
  • F. None of above. chosen

Provenance (4 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25dacf60c8190a5c3ef455b9a8b20 completed Feb. 28, 2026, 3:14 a.m.
PD Predicate disambiguation batch_69a25b5f27208190ae13f34037fe582b completed Feb. 28, 2026, 3:05 a.m.
PDg Predicate description generation batch_69a25dab745c8190829b7b5e915936e8 completed Feb. 28, 2026, 3:14 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.