Triple

T15615069
Position Surface form Disambiguated ID Type / Status
Subject Thälmann Battalion E375390 entity
Predicate veteransLater P119438 FINISHED
Object persecuted in Nazi Germany 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: persecuted in Nazi Germany | Statement: [Thälmann Battalion, veteransLater, persecuted in Nazi Germany]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: veteransLater
Context triple: [Thälmann Battalion, veteransLater, persecuted in Nazi Germany]
  • A. isVeteranOf
    Indicates that an entity has previously served in and been discharged from a specified military conflict, campaign, or armed force.
  • B. retiredFromFrontlineService
    Indicates that an entity has ceased active, primary operational duties and is no longer serving in a frontline role.
  • C. spentLaterLifeAt
    Indicates that an individual resided, worked, or was primarily based at a particular place during the later period of their life.
  • D. usedAfterWar
    Indicates that an entity came into use only after a specific war or conflict had ended.
  • E. yearsOfMilitaryService
    Indicates the number of years an entity has served or is recorded as serving in the military.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e83407c8190abbcd4b7fab0ff85 completed April 16, 2026, 2:50 a.m.
PD Predicate disambiguation batch_69deda844af081909e658ebc9d9b403d completed April 15, 2026, 12:23 a.m.
PDg Predicate description generation batch_69dff7f05f708190850f1d8782e132b0 completed April 15, 2026, 8:41 p.m.
Created at: April 10, 2026, 4:13 a.m.