Triple

T20857917
Position Surface form Disambiguated ID Type / Status
Subject Interstate 68 E513529 entity
Predicate laneConfigurationTypical P83805 FINISHED
Object four-lane divided highway 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: four-lane divided highway | Statement: [Interstate 68, laneConfigurationTypical, four-lane divided highway]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laneConfigurationTypical
Context triple: [Interstate 68, laneConfigurationTypical, four-lane divided highway]
  • A. typicalLanes
    Indicates the usual or standard number or configuration of lanes associated with a road or similar transportation segment.
  • B. laneStructure chosen
    Indicates the structural organization and configuration of lanes within a roadway or traffic facility.
  • C. laneCount
    Indicates the number of parallel lanes associated with a given road or roadway segment.
  • D. laneConfigurationChange
    Indicates a change in the number, type, or arrangement of lanes along a roadway segment.
  • E. hasLaneConfigurations
    Indicates that an entity is associated with one or more specific arrangements or patterns of lanes (e.g., number, type, or direction of lanes).
  • 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3a9fd7881908ae4c5c63f64efc0 completed April 21, 2026, 12:24 a.m.
PD Predicate disambiguation batch_69e5c9a593f481908beb457c29f1ce73 completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:44 p.m.