Triple

T36898885
Position Surface form Disambiguated ID Type / Status
Subject Calculus of Constructions E911973 entity
Predicate positionInLambdaCube P200929 FINISHED
Object top corner 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: top corner | Statement: [Calculus of Constructions, positionInLambdaCube, top corner]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionInLambdaCube
Context triple: [Calculus of Constructions, positionInLambdaCube, top corner]
  • A. positionInCase
    Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
  • B. positionInLent
    Indicates the specific point or stage an event, day, or period occupies within the overall timeline of Lent.
  • C. positionWithinOz
    Indicates that one entity’s location is situated inside or within the spatial boundaries of another entity referred to as “Oz.”
  • D. positionInCast
    Indicates the specific role or placement an individual holds within the cast of a production, such as their billing order or credited position.
  • E. positionWithinComplex
    Indicates that one entity is located inside or forms a component part of a larger complex or compound structure.
  • 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_69f76e841b54819097e7fa768bbc70b2 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69ffb97b8ff8819088b105d99a0820c9 completed May 9, 2026, 10:47 p.m.
PD Predicate disambiguation batch_69ffb88ef7388190a710120ed76edc0e completed May 9, 2026, 10:43 p.m.
PDg Predicate description generation batch_69ffb97ae1508190bf3addd6e2aac281 completed May 9, 2026, 10:47 p.m.
Created at: May 3, 2026, 4:13 p.m.