Triple

T17943211
Position Surface form Disambiguated ID Type / Status
Subject SU95 E448635 entity
Predicate aircraftDesignRange P129822 FINISHED
Object approximately 3000 km to 4500 km depending on variant 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: approximately 3000 km to 4500 km depending on variant | Statement: [SU95, aircraftDesignRange, approximately 3000 km to 4500 km depending on variant]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aircraftDesignRange
Context triple: [SU95, aircraftDesignRange, approximately 3000 km to 4500 km depending on variant]
  • A. aircraftRangeCategory
    Indicates the classification of an aircraft based on the distance it is capable of flying on a typical mission or with standard fuel capacity.
  • B. fuselageLengthRange
    Indicates the range of possible or specified lengths of a fuselage, typically expressed as a minimum and maximum value.
  • C. aircraftLength
    Indicates the physical longitudinal measurement of an aircraft from its nose to its tail.
  • D. aircraftCapability
    Indicates that an aircraft possesses a particular capability, function, or operational feature.
  • E. aircraftRoleDesigned
    Indicates that an aircraft was specifically designed to fulfill a particular operational role or function.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad97611c8190a861467ae51f6c48 completed April 19, 2026, 10:25 a.m.
PD Predicate disambiguation batch_69e3f8f2bd088190b1e22ad4d9cc8b13 completed April 18, 2026, 9:34 p.m.
PDg Predicate description generation batch_69e42d8d68288190a05dc5d7803cf823 completed April 19, 2026, 1:19 a.m.
Created at: April 10, 2026, 10:21 a.m.