Triple

T21133589
Position Surface form Disambiguated ID Type / Status
Subject Westhoughton Mill burning (1812) E520751 entity
Predicate hasLegalResponse P142984 FINISHED
Object harsh sentencing under anti-Luddite laws 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: harsh sentencing under anti-Luddite laws | Statement: [Westhoughton Mill burning (1812), hasLegalResponse, harsh sentencing under anti-Luddite laws]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLegalResponse
Context triple: [Westhoughton Mill burning (1812), hasLegalResponse, harsh sentencing under anti-Luddite laws]
  • A. hasLegalRight
    Indicates that an entity possesses an officially recognized legal entitlement or permission to perform an action or hold a claim regarding another entity.
  • B. hasLegalStatus
    Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
  • C. hasLegalFunction
    Indicates that an entity performs, fulfills, or is assigned a specific legal role, duty, or function within a legal or regulatory context.
  • D. hasLegalForceAs
    Indicates that one thing possesses the binding legal effect or validity in the capacity or role of another specified thing.
  • E. hasLegalSubject
    Indicates that an entity serves as the legal subject (e.g., rights-holder or obligated party) in a legal relationship or context.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235847948190984c7009ca7f6189 completed April 21, 2026, 7:12 a.m.
PD Predicate disambiguation batch_69e5f5ed6c8c8190b31092a5d4c3de5d completed April 20, 2026, 9:46 a.m.
PDg Predicate description generation batch_69e5f993240c8190847c0b08e65726c8 completed April 20, 2026, 10:01 a.m.
Created at: April 16, 2026, 2:56 p.m.