Triple

T3443476
Position Surface form Disambiguated ID Type / Status
Subject Interstate 110 E72618 entity
Predicate hasHighOccupancyTollLanes P48843 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 110, hasHighOccupancyTollLanes, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHighOccupancyTollLanes
Context triple: [Interstate 110, hasHighOccupancyTollLanes, yes]
  • A. hasTollBoothsAt
    Indicates that toll booths are present at or associated with a particular location or segment of infrastructure.
  • B. isTollFacilityOf
    Indicates that a facility (such as a toll booth, plaza, or gantry) is part of, or used to collect tolls for, a specific toll road or toll transportation infrastructure.
  • C. hasToll
    Indicates that the use, access, or passage associated with something requires payment of a toll or fee.
  • D. hasExpressLanes
    Indicates that a roadway or transportation facility includes designated express lanes for faster or prioritized travel.
  • E. hasTollSegment
    Indicates that a route, road, or path includes a segment where a toll must be paid.
  • F. None of above. chosen

Provenance (4 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba2a605c8190a0eafdf6f25b1e38 completed March 8, 2026, 6:04 p.m.
PD Predicate disambiguation batch_69adae0255b48190a9069f7871c7a012 completed March 8, 2026, 5:12 p.m.
PDg Predicate description generation batch_69adb1ecb02881908394f197e31431b4 completed March 8, 2026, 5:29 p.m.
Created at: March 8, 2026, 3:16 p.m.