Triple

T34328035
Position Surface form Disambiguated ID Type / Status
Subject Part 61 E880923 entity
Predicate hasTrainingFlexibilityComparedTo P167053 FINISHED
Object more flexible than Part 141 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: more flexible than Part 141 | Statement: [Part 61, hasTrainingFlexibilityComparedTo, more flexible than Part 141]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTrainingFlexibilityComparedTo
Context triple: [Part 61, hasTrainingFlexibilityComparedTo, more flexible than Part 141]
  • A. hasTrainingComplex
    Indicates that an entity possesses or is associated with a dedicated facility or complex used for training activities.
  • B. providesFlexibilityFor chosen
    Indicates that one entity offers options, adaptability, or freedom of choice to another entity in how something is done or used.
  • C. positionFlexibility
    Indicates the degree to which an entity’s role, location, or alignment can change or be adjusted relative to others or to a reference point.
  • D. regulatesTrainingAccordingTo
    Indicates that one entity sets or enforces rules, standards, or guidelines governing how training is conducted in relation to another entity or context.
  • E. hasTrainingFor
    Indicates that an entity has received or possesses training that prepares it for performing a specific task, role, or function.
  • 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_69f349ba96a08190b94887bae2d8ee49 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69ff6c061c6c81909ff485e9cafc88a2 completed May 9, 2026, 5:16 p.m.
PD Predicate disambiguation batch_69ff6aaf886c8190a3c87d089453f3de completed May 9, 2026, 5:11 p.m.
Created at: May 1, 2026, 1:58 a.m.