Triple

T76095
Position Surface form Disambiguated ID Type / Status
Subject Altmark Incident E1520 entity
Predicate prisonersNationality P2 FINISHED
Object British 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: British | Statement: [Altmark Incident, prisonersNationality, British]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: prisonersNationality
Context triple: [Altmark Incident, prisonersNationality, British]
  • A. nationalityRepresented
    Indicates the country or nation that an entity officially represents, typically in a professional, competitive, or diplomatic capacity.
  • B. imprisonedFor
    Indicates that one entity is held in detention or jail as a consequence of, or in connection with, a specific reason, action, or offense committed by another entity or itself.
  • C. countryOfCitizenship chosen
    Indicates the country in which a person or entity holds legal citizenship.
  • D. countryJoined
    Indicates that a country became a member of, or formally entered into, a specific organization, union, alliance, or agreement.
  • E. countryRepresented
    Indicates that one entity serves as the official representative (such as an athlete, diplomat, or delegate) of a specific country in a given context or event.
  • 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_69a24c60d19c8190a1b6c105ca59ef5b completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a2559892dc81909303f2eefdc0025f completed Feb. 28, 2026, 2:40 a.m.
PD Predicate disambiguation batch_69a24eaf99e481908e8d314577e22ecf completed Feb. 28, 2026, 2:10 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.