Triple

T23593935
Position Surface form Disambiguated ID Type / Status
Subject No. 148 Squadron RAF E582560 entity
Predicate operationRange P5433 FINISHED
Object long‑range 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: long‑range | Statement: [No. 148 Squadron RAF, operationRange, long‑range]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operationRange
Context triple: [No. 148 Squadron RAF, operationRange, long‑range]
  • A. operationalRange
    Indicates the span of conditions (such as distance, time, or environment) within which a system, device, or process can function effectively and safely.
  • B. rangeOf
    Indicates that one entity specifies the set of possible values (range) that another entity’s outputs or properties can take.
  • C. rangeCapability chosen
    Indicates the maximum distance or extent over which an entity can effectively operate, function, or exert its effect.
  • D. launchRangeOperator
    Indicates the entity that operates or manages the launch range used for a launch event or launch vehicle.
  • E. coreRange
    Indicates the primary spatial or temporal extent within which an entity, phenomenon, or relationship is predominantly present or valid.
  • 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_69e248f9e0a08190814772847003b1ff completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b08d63dc81908c092a87cf61f2b9 completed April 29, 2026, 7:17 a.m.
PD Predicate disambiguation batch_69f118c96a0081908a8ac98ef7e7e60c completed April 28, 2026, 8:30 p.m.
Created at: April 17, 2026, 6:42 p.m.