Triple

T31221313
Position Surface form Disambiguated ID Type / Status
Subject James Holden E796015 entity
Predicate formerUnit P146400 FINISHED
Object UNN (United Nations Navy) NE NERFINISHED

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: UNN (United Nations Navy) | Statement: [James Holden, formerUnit, UNN (United Nations Navy)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerUnit
Context triple: [James Holden, formerUnit, UNN (United Nations Navy)]
  • A. formedUnit
    Indicates that one entity has been organized or constituted into a specific unit or group, establishing a formal unit-level relationship between them.
  • B. formerSubunit
    Indicates that one entity was previously a subunit or subordinate part of another entity, but no longer holds that status.
  • C. former chosen
    Indicates that an entity previously held a role, status, or relationship but no longer does so in the present.
  • D. predecessorUnit
    Indicates that one unit directly precedes another in an ordered sequence or hierarchy.
  • E. formerPart
    Indicates that an entity was once a component or member of another entity but is no longer part of it.
  • 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_69f224da98f88190ab32f690cce5d303 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69ff234f32888190a1d800a3bda432eb completed May 9, 2026, 12:06 p.m.
PD Predicate disambiguation batch_69ff228ae9a0819083f4b97c10b923f4 completed May 9, 2026, 12:03 p.m.
Created at: April 29, 2026, 9:10 p.m.