Triple

T1256239
Position Surface form Disambiguated ID Type / Status
Subject Pilatus PC-21 E12398 entity
Predicate gLimits P16655 FINISHED
Object +8 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: +8 | Statement: [Pilatus PC-21, gLimits, +8]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: gLimits
Context triple: [Pilatus PC-21, gLimits, +8]
  • A. gLimit chosen
    Indicates a constraint or maximum boundary imposed on the magnitude, rate, or extent of something within a given context.
  • B. isLimitOf
    Indicates that one quantity, function, or sequence approaches a particular value as its input or index approaches some specified point or condition.
  • C. hasLimitation
    Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
  • D. jurisdictionLimit
    Indicates the maximum scope or boundary within which an authority, organization, or rule is legally empowered to operate or exercise control.
  • E. hasSpeedLimitRange
    Indicates that there is a specified minimum and maximum speed limit applicable to a given context or segment.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfa726548190911b4022dc1be3c3 completed March 1, 2026, 10:37 p.m.
PD Predicate disambiguation batch_69a4bb6c977c8190a2bf3e8b67a59beb completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:50 p.m.