Triple

T1329078
Position Surface form Disambiguated ID Type / Status
Subject Heinkel E28598 entity
Predicate primaryRoleDuringWWII P16542 FINISHED
Object manufacturer of bombers 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: manufacturer of bombers | Statement: [Heinkel, primaryRoleDuringWWII, manufacturer of bombers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryRoleDuringWWII
Context triple: [Heinkel, primaryRoleDuringWWII, manufacturer of bombers]
  • A. worldWarIIRole chosen
    Indicates the specific role, position, or function an entity had in relation to World War II.
  • B. sideInWorldWarII
    Indicates that an entity was aligned with or participated on a particular side during World War II.
  • C. preWorldWarIIRole
    Indicates the role, position, or function an entity held or performed prior to the onset of World War II.
  • D. statusDuringWorldWarII
    Indicates the role, condition, or classification an entity had specifically during the period of World War II.
  • E. militaryRole
    Indicates the specific function, position, or duty an entity holds within a military organization or context.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1c30c948190afc6342b3dcda948 completed March 1, 2026, 10:46 p.m.
PD Predicate disambiguation batch_69a4beef6a188190996f8775bdda8f6c completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:55 p.m.