Triple

T28596676
Position Surface form Disambiguated ID Type / Status
Subject Production Way–University station E723793 entity
Predicate hasBusExchange P2423 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: [Production Way–University station, hasBusExchange, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBusExchange
Context triple: [Production Way–University station, hasBusExchange, yes]
  • A. hasBusInterchange chosen
    Indicates that one transport-related entity includes, contains, or is associated with a bus interchange facility.
  • B. hasBusStation
    Indicates that a place or area contains or is served by a bus station.
  • C. hasBusTerminalType
    Indicates the specific category or type of bus terminal associated with an entity.
  • D. hasBusStationStructure
    Indicates that one entity serves as the physical structure or facility that functions as a bus station for another entity.
  • E. hasBusServices
    Indicates that one location or entity is served by bus routes or bus transportation provided by another.
  • 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_69f01d80b1908190980594837604b8c7 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f6b903538481909cffcb6cc1cc0e70 completed May 3, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69f6b626120c819097c9ad04487570d7 completed May 3, 2026, 2:42 a.m.
Created at: April 28, 2026, 4:22 a.m.