Triple

T30418726
Position Surface form Disambiguated ID Type / Status
Subject State Route 87 E773832 entity
Predicate hasLightRailInMedian P192919 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: [State Route 87, hasLightRailInMedian, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLightRailInMedian
Context triple: [State Route 87, hasLightRailInMedian, yes]
  • A. hasLightRailSystem
    Indicates that a place possesses and operates a light rail transit system.
  • B. lightRailNetwork
    Indicates a relationship where an area, city, or region is served by or contains a light rail transit network.
  • C. hasLightRailStationPlanned
    Indicates that a light rail station is planned or scheduled to be built at or associated with the given entity.
  • D. lightRailSystemName
    Indicates the name assigned to a particular light rail transit system.
  • E. hasPersonalRapidTransitSystem
    Indicates that an entity possesses or is equipped with a personal rapid transit (PRT) system as part of its transportation infrastructure.
  • 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_69f22491ba248190b9a4776ca8e42d02 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fd32848ea88190a71e6df402bbb30e completed May 8, 2026, 12:47 a.m.
PD Predicate disambiguation batch_69fd2d7e95588190991d5f21e25155df completed May 8, 2026, 12:25 a.m.
PDg Predicate description generation batch_69fd328298ac8190b6bd5ded7dca270d completed May 8, 2026, 12:46 a.m.
Created at: April 29, 2026, 8:05 p.m.