Triple

T6670398
Position Surface form Disambiguated ID Type / Status
Subject Operation Demetrius E151711 entity
Predicate legalMeasure P10360 FINISHED
Object internment without trial 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: internment without trial | Statement: [Operation Demetrius, legalMeasure, internment without trial]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalMeasure
Context triple: [Operation Demetrius, legalMeasure, internment without trial]
  • A. legalAct chosen
    Indicates that an entity performs, enacts, or is involved in a formal legal action, measure, or proceeding under a legal framework.
  • B. legalOrder
    Indicates that an authoritative legal directive or mandate has been issued by a recognized legal body requiring specific actions or compliance from the involved parties.
  • C. legalDimension
    Indicates a relationship where something is characterized, evaluated, or framed in terms of its legal aspects, status, or implications.
  • D. legalMatters
    Indicates that one entity is involved with, concerned about, or responsible for legal issues, processes, or obligations related to another entity or context.
  • E. enforcedLaw
    Indicates that an authority actively applies or upholds a specific law to regulate behavior or resolve situations.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ce738fe88190a5557900efeec7ec completed March 27, 2026, 6:37 p.m.
PD Predicate disambiguation batch_69c6ad09974c81908784300ae218961f completed March 27, 2026, 4:15 p.m.
Created at: March 27, 2026, 2:03 p.m.