Triple

T25292780
Position Surface form Disambiguated ID Type / Status
Subject Heinkel-Hirth engine division E634132 entity
Predicate associatedWithAircraftManufacturer P186440 FINISHED
Object Heinkel 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: Heinkel | Statement: [Heinkel-Hirth engine division, associatedWithAircraftManufacturer, Heinkel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithAircraftManufacturer
Context triple: [Heinkel-Hirth engine division, associatedWithAircraftManufacturer, Heinkel]
  • A. associatedWithAircraftModel
    Indicates that something has a specified relationship or connection to a particular aircraft model.
  • B. associatedWithCarrierAircraft
    Indicates a relationship where something is linked or connected to a carrier-based aircraft, such as being used by, transported on, or otherwise functionally related to it.
  • C. appliedToAircraftBuiltBy
    Indicates that something (such as a regulation, modification, or action) is applied specifically to aircraft that were built by a particular manufacturer or builder.
  • D. aircraftManufacturerOfAircraft
    Indicates that a given manufacturer is the producer or builder of a specified aircraft.
  • E. aircraftManufacturerAtField
    Indicates that an aircraft manufacturer operates or is located at a particular airfield or airport.
  • 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_69e75a9503d48190b80a005c6af0cb50 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f9fe1a1ca4819084c196f0041f0be2 completed May 5, 2026, 2:26 p.m.
PD Predicate disambiguation batch_69f7cf769338819092a5f42653dcc956 completed May 3, 2026, 10:43 p.m.
PDg Predicate description generation batch_69f9fd66eed48190bdc26a8def328c2d completed May 5, 2026, 2:23 p.m.
Created at: April 21, 2026, 1:22 p.m.