Triple

T26841612
Position Surface form Disambiguated ID Type / Status
Subject Airspeed Oxford E675791 entity
Predicate derivedCivilVariant P99225 FINISHED
Object Airspeed Consul 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: Airspeed Consul | Statement: [Airspeed Oxford, derivedCivilVariant, Airspeed Consul]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: derivedCivilVariant
Context triple: [Airspeed Oxford, derivedCivilVariant, Airspeed Consul]
  • A. developedFromCivilModel chosen
    Indicates that something was created or derived based on a pre-existing civil model.
  • B. civilianVariant
    Indicates that one entity is a civilian version or non-military counterpart of another entity.
  • C. exportVariantOf
    Indicates that one entity is an exported version or externally released form derived from another, original entity.
  • D. customizedVariantOf
    Indicates that one entity is a modified or tailored version derived from another, preserving a core basis while introducing specific customizations.
  • E. governsVariant
    Indicates a regulatory relationship where one entity controls, influences, or determines the behavior or state of a specific variant of another entity.
  • 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_69eee9b8d5e88190a07d3455c0fbb21f completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f6562fd3488190be1acd8c526a28d2 completed May 2, 2026, 7:53 p.m.
PD Predicate disambiguation batch_69f651a731508190bb0c8c2462eba224 completed May 2, 2026, 7:33 p.m.
Created at: April 27, 2026, 5:08 a.m.