Triple

T29397732
Position Surface form Disambiguated ID Type / Status
Subject Tube map E745548 entity
Predicate usesLayoutStyle P30520 FINISHED
Object topological layout 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: topological layout | Statement: [Tube map, usesLayoutStyle, topological layout]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesLayoutStyle
Context triple: [Tube map, usesLayoutStyle, topological layout]
  • A. usesGridBasedLayout
    Indicates that an entity arranges its elements or content according to a structured grid-based layout system.
  • B. hasLayout
    Indicates that one entity defines or is associated with the structural arrangement or organization (layout) of another entity.
  • C. usedStyle
    Indicates that one entity employed or applied a particular style, method, or manner associated with another entity.
  • D. usesAsStyleOf chosen
    Indicates that one entity adopts or applies another entity as a stylistic model, method, or manner of expression.
  • E. usesCodePageLayout
    Indicates that one entity arranges or interprets character data according to the code page layout defined or provided by another entity.
  • 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_69f0a79dfabc81908755382ee47791e2 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f6aaf50be08190a2b62a6d881f8aee completed May 3, 2026, 1:55 a.m.
PD Predicate disambiguation batch_69f6aa1c555081908787dbf76147f180 completed May 3, 2026, 1:51 a.m.
Created at: April 28, 2026, 2:47 p.m.