Triple

T8455313
Position Surface form Disambiguated ID Type / Status
Subject H160 E199904 entity
Predicate tailRotorPosition P82738 FINISHED
Object canted Fenestron tail 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: canted Fenestron tail rotor | Statement: [H160, tailRotorPosition, canted Fenestron tail rotor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tailRotorPosition
Context triple: [H160, tailRotorPosition, canted Fenestron tail rotor]
  • A. tailRotorConfiguration
    Indicates the specific arrangement or design setup of a vehicle’s tail rotor relative to its main structure or propulsion system.
  • B. 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.
  • C. rotorConfiguration
    Indicates the specific arrangement and setup of rotors within a rotor-based system or mechanism.
  • D. 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.
  • E. rotorDiameter
    Indicates the relationship where a rotor is associated with a specific measurement representing the diameter of its circular span.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe48e0ae481908b40f7f124b0551e completed March 31, 2026, 3:13 p.m.
PD Predicate disambiguation batch_69cbd0fc634481909842c0a30077bfde completed March 31, 2026, 1:49 p.m.
PDg Predicate description generation batch_69cbe12dd0b88190a38ec4d15dcc870b completed March 31, 2026, 2:58 p.m.
Created at: March 30, 2026, 6:10 p.m.