Triple

T5602115
Position Surface form Disambiguated ID Type / Status
Subject Zeke E147143 entity
Predicate referredAircraftRole P64994 FINISHED
Object carrier-based fighter 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: carrier-based fighter | Statement: [Zeke, referredAircraftRole, carrier-based fighter]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: referredAircraftRole
Context triple: [Zeke, referredAircraftRole, carrier-based fighter]
  • A. basedAircraftRole
    Indicates that an aircraft is regularly stationed at a particular location in a specified operational role or function.
  • B. usedOnAircraftRole
    Indicates that something is employed or applied in the context of a specific role or function on an aircraft.
  • C. testAircraftRole
    Indicates that an aircraft is assigned or evaluated for a specific operational role or function.
  • D. primaryAircraftRole
    Indicates the main operational function or mission type an aircraft is primarily designed or used to perform.
  • E. aircraftRoleSupported
    Indicates that a given role or function is supported or enabled for a particular aircraft.
  • 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_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.
PDg Predicate description generation batch_69c01f4032408190a4f0d2eb21ebd870 completed March 22, 2026, 4:56 p.m.
Created at: March 22, 2026, 3:39 p.m.