Triple

T26440694
Position Surface form Disambiguated ID Type / Status
Subject Douglas DB-7 E665076 entity
Predicate notableTheaterOfOperation P710 FINISHED
Object European Theater of Operations 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: European Theater of Operations | Statement: [Douglas DB-7, notableTheaterOfOperation, European Theater of Operations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableTheaterOfOperation
Context triple: [Douglas DB-7, notableTheaterOfOperation, European Theater of Operations]
  • A. militaryTheater chosen
    Indicates that an entity is a geographic or operational area where military operations or campaigns are conducted.
  • B. militaryTheaterCovered
    Indicates that a specified military theater or area of operations falls within the geographic or operational scope covered by another entity (such as a plan, command, or agreement).
  • C. notableAirOperation
    Indicates that there is a significant or historically important air operation associated with the subject.
  • D. hasPrimaryTheatreOfWar
    Indicates that an armed conflict or military operation is chiefly conducted within a particular geographic theatre or region of war.
  • E. notableBattlefield
    Indicates that a location is recognized as the site of a historically significant battle or military engagement.
  • 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_69ee883c851881909e2ab04efbb3c5fe completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69feba0f09508190b3e871c62b19ec7f completed May 9, 2026, 4:37 a.m.
PD Predicate disambiguation batch_69feb957fe7c8190969fb31a6d1a59c8 completed May 9, 2026, 4:34 a.m.
Created at: April 26, 2026, 11:58 p.m.