Triple

T1024282
Position Surface form Disambiguated ID Type / Status
Subject Interstate 90 E22104 entity
Predicate hasTollSegments P3376 FINISHED
Object yes 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: yes | Statement: [Interstate 90, hasTollSegments, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTollSegments
Context triple: [Interstate 90, hasTollSegments, yes]
  • A. hasTollSegment chosen
    Indicates that a route, road, or path includes a segment where a toll must be paid.
  • B. hasToll
    Indicates that the use, access, or passage associated with something requires payment of a toll or fee.
  • C. tollingType
    Indicates the specific method or basis by which a toll, fee, or charge is applied or calculated in a given context.
  • D. hasExpresswaySection
    Indicates that an entity includes, contains, or is associated with a specific section or segment of an expressway.
  • E. hasExpressLanes
    Indicates that a roadway or transportation facility includes designated express lanes for faster or prioritized travel.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7e28df08190b5be7794442a6f21 completed March 1, 2026, 10:04 p.m.
PD Predicate disambiguation batch_69a4b72619cc8190932fdfa0c74dc055 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:41 p.m.