Triple

T15325363
Position Surface form Disambiguated ID Type / Status
Subject National Military Organization E366394 entity
Predicate relationshipWithOtherGroup P118114 FINISHED
Object cooperated at times with Haganah 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: cooperated at times with Haganah | Statement: [National Military Organization, relationshipWithOtherGroup, cooperated at times with Haganah]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipWithOtherGroup
Context triple: [National Military Organization, relationshipWithOtherGroup, cooperated at times with Haganah]
  • A. inRelationshipWith
    Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
  • B. relationshipType
    Indicates the specific kind of relationship that exists between two or more entities.
  • C. relationshipPlannedWith
    Indicates that a relationship between two entities has been intentionally arranged or scheduled to occur in the future.
  • D. friendGroupRole
    Indicates the specific role or function an individual holds within a particular friend group.
  • E. basisOfRelationship
    Indicates that one entity serves as the foundational reason, cause, or justification for the relationship that exists between two or more entities.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dfd8f048190831b463a2728eafe completed April 16, 2026, 1:40 a.m.
PD Predicate disambiguation batch_69deca9659f48190b8661df223ce5078 completed April 14, 2026, 11:15 p.m.
PDg Predicate description generation batch_69decf2e413481909d9180a8d78d2c17 completed April 14, 2026, 11:35 p.m.
Created at: April 10, 2026, 3:16 a.m.