Triple

T29599156
Position Surface form Disambiguated ID Type / Status
Subject Third Law of Robotics E754391 entity
Predicate hasOrderingWithinSet P163675 FINISHED
Object lowest priority law among the Three Laws of Robotics 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: lowest priority law among the Three Laws of Robotics | Statement: [Third Law of Robotics, hasOrderingWithinSet, lowest priority law among the Three Laws of Robotics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOrderingWithinSet
Context triple: [Third Law of Robotics, hasOrderingWithinSet, lowest priority law among the Three Laws of Robotics]
  • A. areOrderedBy
    Indicates that a set of items is arranged or sequenced according to a specified criterion or ordering rule.
  • B. hasOrderingMethod
    Indicates that there is a specific method or procedure used to place or arrange an order for something.
  • C. hasElementOrder
    Indicates that one entity is ordered or ranked relative to another within a sequence or hierarchy.
  • D. isOrderIn
    Indicates that one entity is contained within or belongs to a specified order or sequence of entities.
  • E. belongsToOrderOfPrecedence chosen
    Indicates that one entity is assigned a specific position or rank within an established order of precedence relative to other entities.
  • 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_69f0ef84e5d08190a0df17f5930ceed3 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69fcc7338120819081cb46547d60f2cb completed May 7, 2026, 5:09 p.m.
PD Predicate disambiguation batch_69fcc58566a0819082d5ea36e03bf0c6 completed May 7, 2026, 5:01 p.m.
Created at: April 28, 2026, 6:20 p.m.