Triple

T2701181
Position Surface form Disambiguated ID Type / Status
Subject Israel Defense Forces E59229 entity
Predicate hasReserveForce P35319 FINISHED
Object IDF reserves 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: IDF reserves | Statement: [Israel Defense Forces, hasReserveForce, IDF reserves]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReserveForce
Context triple: [Israel Defense Forces, hasReserveForce, IDF reserves]
  • A. hasReserveForces chosen
    Indicates that an entity possesses additional military or security personnel kept in reserve for potential future deployment or use.
  • B. isStrategicReserveFor
    Indicates that one entity is held or designated as a backup or contingency resource to be used strategically in support of another entity.
  • C. hasReserveTeam
    Indicates that an organization, typically a sports club, maintains a secondary or backup team formally associated with its main team.
  • D. hasForceCarrier
    Indicates that a fundamental interaction or force is mediated or carried by a specific particle or field.
  • E. commandingForce2Strength
    Indicates that a commanding force possesses or exerts a particular level or measure of strength.
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda4c8d34819094f5e4cbc5a4bb9b completed March 7, 2026, 7:57 a.m.
PD Predicate disambiguation batch_69abd82062988190b4292f242ad70b2c completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:55 p.m.