Triple

T25092673
Position Surface form Disambiguated ID Type / Status
Subject Walsh v Lonsdale E628503 entity
Predicate statusInTeaching P40561 FINISHED
Object commonly taught case in English contract and property law courses 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: commonly taught case in English contract and property law courses | Statement: [Walsh v Lonsdale, statusInTeaching, commonly taught case in English contract and property law courses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statusInTeaching
Context triple: [Walsh v Lonsdale, statusInTeaching, commonly taught case in English contract and property law courses]
  • A. hasTeachingStatus chosen
    Indicates that an entity holds a particular teaching-related role, capacity, or status in relation to another entity or context.
  • B. hasTeaching
    Indicates that one entity provides instruction or educational guidance to another entity.
  • C. hasTeachingRole
    Indicates that one entity holds a position or responsibility involving teaching or instruction in relation to another entity.
  • D. typeOfTeaching
    Indicates the specific method or style of teaching used in an instructional context.
  • E. hasTeachingMode
    Indicates that an entity is associated with a particular method, style, or mode of teaching or instruction.
  • 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_69e2ff2f58e881908340527bc5d34f07 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f61f12b0f08190bc4a16907941864c completed May 2, 2026, 3:58 p.m.
PD Predicate disambiguation batch_69f61b37a5648190b10d33ae205ccfee completed May 2, 2026, 3:41 p.m.
Created at: April 18, 2026, 6:24 a.m.