Triple

T5602148
Position Surface form Disambiguated ID Type / Status
Subject Zeke E147143 entity
Predicate referredAircraftConfiguration P3541 FINISHED
Object low-wing monoplane 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: low-wing monoplane | Statement: [Zeke, referredAircraftConfiguration, low-wing monoplane]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: referredAircraftConfiguration
Context triple: [Zeke, referredAircraftConfiguration, low-wing monoplane]
  • A. aircraftConfiguration chosen
    Indicates the specific arrangement or setup of an aircraft’s components, systems, or features for a given purpose or operating condition.
  • B. aircraftConfigurationProduced
    Indicates that a specific aircraft configuration has been manufactured or produced.
  • C. wingConfiguration
    Indicates how the wings of an aircraft or creature are arranged or structured relative to its body and to each other.
  • D. usedByAircraftType
    Indicates that something (such as equipment, infrastructure, or a procedure) is employed or operated by a specific type or category of aircraft.
  • E. carrierAircraft
    Indicates that an aircraft is designed, equipped, or used to operate from an aircraft carrier.
  • 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_69c009043d648190a7af89698ccf1e3e completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020dbd6dc8190ba011876c205754e completed March 22, 2026, 5:03 p.m.
PD Predicate disambiguation batch_69c01b1890ec8190b9e6fa488792e4d4 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:39 p.m.