Triple

T16020613
Position Surface form Disambiguated ID Type / Status
Subject Avenir E388586 entity
Predicate exteriorFocus P19771 FINISHED
Object distinctive styling cues 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: distinctive styling cues | Statement: [Avenir, exteriorFocus, distinctive styling cues]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: exteriorFocus
Context triple: [Avenir, exteriorFocus, distinctive styling cues]
  • A. exteriorFeature chosen
    Indicates a relationship where one entity serves as an external or outward-facing feature, element, or characteristic of another entity.
  • B. hasOutdoorFocus
    Indicates a relationship where an entity is primarily concerned with, oriented toward, or specialized in outdoor environments, activities, or contexts.
  • C. focusesOn
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • D. focusOf
    Indicates that one entity is the primary subject, target, or center of attention, activity, or interest for another entity.
  • E. amenityFocus
    Indicates a relationship where an amenity is specifically oriented toward, designed for, or primarily serving a particular focus or target (such as a user group, activity, or purpose).
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1858a00888190b8505071575dc56f completed April 17, 2026, 12:57 a.m.
PD Predicate disambiguation batch_69e1826a4f7c8190aba6d4f1075141b0 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 4:55 a.m.