Triple

T32972751
Position Surface form Disambiguated ID Type / Status
Subject Farmingdale airfield E843569 entity
Predicate aircraftManufacturerAtField P177604 FINISHED
Object Republic Aviation 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: Republic Aviation | Statement: [Farmingdale airfield, aircraftManufacturerAtField, Republic Aviation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aircraftManufacturerAtField
Context triple: [Farmingdale airfield, aircraftManufacturerAtField, Republic Aviation]
  • A. aircraftManufacturerOfAircraft
    Indicates that a given manufacturer is the producer or builder of a specified aircraft.
  • B. wingManufacturer
    Indicates that one entity is the manufacturer or producer of the wing component used by another entity.
  • C. intendedAircraftManufacturer
    Indicates that one entity is the manufacturer for which an aircraft (or aircraft model) is designed or planned, rather than necessarily the one that ultimately builds it.
  • D. aircraftManufacturerUsed
    Indicates that a particular aircraft manufacturer was employed or utilized in relation to another entity, such as for production, design, or supply purposes.
  • E. 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.
  • 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_69f3494b9fc48190bb61c955ba471275 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f7009d39508190af7301f824615e88 completed May 3, 2026, 8 a.m.
PD Predicate disambiguation batch_69f6fc5740fc81909774a4f65201a3ff completed May 3, 2026, 7:42 a.m.
PDg Predicate description generation batch_69f6ffb7554881908993d6d2ffbcf8f5 completed May 3, 2026, 7:56 a.m.
Created at: May 1, 2026, 1:22 a.m.