Triple

T13612254
Position Surface form Disambiguated ID Type / Status
Subject U.S. Routes in Ventura County E325218 entity
Predicate includesRuralSegmentsIn P96995 FINISHED
Object western Ventura County 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: western Ventura County | Statement: [U.S. Routes in Ventura County, includesRuralSegmentsIn, western Ventura County]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesRuralSegmentsIn
Context triple: [U.S. Routes in Ventura County, includesRuralSegmentsIn, western Ventura County]
  • A. hasRuralArea
    Indicates that an entity includes, is associated with, or contains a countryside or sparsely populated geographic area.
  • B. hasLongRuralSectionsIn chosen
    Indicates that something (such as a route or infrastructure) contains extended stretches that pass through rural areas within a specified region or location.
  • C. hasRuralLocality
    Indicates that an entity possesses, includes, or is associated with a rural locality (such as a village, hamlet, or countryside settlement) within its scope or jurisdiction.
  • D. isRural
    Indicates that something is located in, characteristic of, or associated with a countryside or non-urban area.
  • E. isPredominantlyRural
    Indicates that a place or region is characterized mainly by rural features, such as low population density and extensive non-urban land use.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbb9ee3f081909056dc1a92c40b7a completed April 12, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69dbae1b3ee481909bd43ded6227a3e5 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:50 p.m.