Triple

T2940407
Position Surface form Disambiguated ID Type / Status
Subject Gazelle helicopter E79371 entity
Predicate mainRotorType P29958 FINISHED
Object rigid rotor 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: rigid rotor | Statement: [Gazelle helicopter, mainRotorType, rigid rotor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainRotorType
Context triple: [Gazelle helicopter, mainRotorType, rigid rotor]
  • A. mainRotorBlades
    Indicates the relationship between a helicopter’s main rotor assembly and the blades that are attached to and rotate as part of that primary lifting rotor system.
  • B. rotorConfiguration chosen
    Indicates the specific arrangement and setup of rotors within a rotor-based system or mechanism.
  • C. propellerType
    Indicates the specific kind or classification of propeller associated with an entity.
  • D. tailRotorBlades
    Indicates the relationship in which an entity functions as the rotor blades located at the tail of a rotorcraft, used for stability and directional control.
  • E. tailRotorConfiguration
    Indicates the specific arrangement or design setup of a vehicle’s tail rotor relative to its main structure or propulsion system.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad986f38948190a636a826693a9d4f completed March 8, 2026, 3:40 p.m.
PD Predicate disambiguation batch_69ad96088fb481909976b436c2b729d9 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:56 p.m.