Triple

T27990403
Position Surface form Disambiguated ID Type / Status
Subject Pearblossom Hwy., 11–18th April 1986, #2 E706853 entity
Predicate subject focus P86548 FINISHED
Object roadside view from driver’s perspective 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: roadside view from driver’s perspective | Statement: [Pearblossom Hwy., 11–18th April 1986, #2, subject focus, roadside view from driver’s perspective]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subject focus
Context triple: [Pearblossom Hwy., 11–18th April 1986, #2, subject focus, roadside view from driver’s perspective]
  • A. focusType
    Indicates the specific kind or category of focus or attention that is being applied to or associated with an entity or interaction.
  • B. structureFocus
    Indicates that attention or emphasis is placed on the structural aspects or organization of something within the described context.
  • C. focusesOn
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • D. focusOf chosen
    Indicates that one entity is the primary subject, target, or center of attention, activity, or interest for another entity.
  • E. categoryFocus
    Indicates that one entity is the primary subject, theme, or focal point within the broader category defined by the other 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_69ef96b8b8d88190bad5e4ae966bf14e completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f6c49627908190b3553474c7c3072b completed May 3, 2026, 3:44 a.m.
PD Predicate disambiguation batch_69f6c3f23ae081909a52801266063a3c completed May 3, 2026, 3:41 a.m.
Created at: April 27, 2026, 7:49 p.m.