Triple

T14860285
Position Surface form Disambiguated ID Type / Status
Subject constructor theory E349468 entity
Predicate formulatesLawsAs P115909 FINISHED
Object statements about which physical tasks are possible 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: statements about which physical tasks are possible | Statement: [constructor theory, formulatesLawsAs, statements about which physical tasks are possible]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formulatesLawsAs
Context triple: [constructor theory, formulatesLawsAs, statements about which physical tasks are possible]
  • A. promulgatesLawsAt
    Indicates the action by which an authority formally enacts or issues laws within a particular jurisdiction or location.
  • B. definesAct
    Indicates that one entity specifies, determines, or lays out the nature, scope, or details of an action performed by another entity.
  • C. legalCodePromulgatedBy
    Indicates that a specific legal code was formally issued or enacted by a particular authority or governing body.
  • D. legislativeActOf
    Indicates a relationship where a legislative act is authored, enacted, or formally issued by a specific legislative body or authority.
  • E. legalReformer
    Indicates that an entity works to change, improve, or modernize laws or legal systems.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded573cba881908d6d9ac570a64e5f completed April 15, 2026, 12:01 a.m.
PD Predicate disambiguation batch_69de8c1798c08190b433e9ad21e41a42 completed April 14, 2026, 6:48 p.m.
PDg Predicate description generation batch_69de8f4b67cc8190b84b59fcec5cf579 completed April 14, 2026, 7:02 p.m.
Created at: April 10, 2026, 1:54 a.m.