Triple

T8371721
Position Surface form Disambiguated ID Type / Status
Subject Abwehr E197474 entity
Predicate nativeLabel P657 FINISHED
Object Abwehr E197474 NE 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: Abwehr | Statement: [Abwehr, nativeLabel, Abwehr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abwehr
Context triple: [Abwehr, nativeLabel, Abwehr]
  • A. Abwehr chosen
    The Abwehr was Nazi Germany’s military intelligence service responsible for espionage, counterintelligence, and sabotage operations before and during World War II.
  • B. Parry
    Parry is a given name and surname used in English-speaking countries, often as a variant of Perry.
  • C. Armour
    Armour is a Scottish surname most famously associated with Jean Armour, the wife of poet Robert Burns.
  • D. Siegfriedstellung
    Siegfriedstellung is a German World War II defensive fortification system along the western border of Germany, commonly known in English as the Siegfried Line.
  • E. Apsaras
    Apsaras are celestial nymphs in Hindu and Buddhist mythology, renowned for their beauty, grace, and skill in dance and music, who often serve as divine entertainers in heavenly realms.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80a509dc81909e0ea4c66b21d84f completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7d0a6d081909ffe138f80605992 completed April 2, 2026, 3:51 a.m.
Created at: March 30, 2026, 6:01 p.m.