Triple

T14373682
Position Surface form Disambiguated ID Type / Status
Subject Côtes de Genève E356416 entity
Predicate patternDirection P8034 FINISHED
Object usually straight 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: usually straight | Statement: [Côtes de Genève, patternDirection, usually straight]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: patternDirection
Context triple: [Côtes de Genève, patternDirection, usually straight]
  • A. pattern chosen
    Indicates that one entity exhibits, follows, or is characterized by a particular recurring form, structure, or arrangement associated with another entity.
  • B. patroonOf
    Indicates a relationship in which one entity acts as a patron, sponsor, or protector providing support or resources to another entity.
  • C. airingPattern
    Indicates the recurring schedule or pattern according to which something (such as a program or content) is broadcast or made available.
  • D. hasPavementPattern
    Indicates that an entity possesses or is characterized by a specific pattern or design in its pavement surface.
  • E. glazingPattern
    Indicates the arrangement or design pattern of glazing elements (such as panes or glass sections) within a structure or object.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9007184c8190aebb003cb6548cc8 completed April 14, 2026, 7:05 p.m.
PD Predicate disambiguation batch_69de2a9cb3e081909f6b33fdd939bb9e completed April 14, 2026, 11:53 a.m.
Created at: April 10, 2026, 1:15 a.m.