Triple

T18048960
Position Surface form Disambiguated ID Type / Status
Subject Union Mills E431874 entity
Predicate hasBusRouteNumber P1864 FINISHED
Object 5 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: 5 | Statement: [Union Mills, hasBusRouteNumber, 5]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBusRouteNumber
Context triple: [Union Mills, hasBusRouteNumber, 5]
  • A. isPublicTransportRoute
    Indicates that a given route is designated and operated as part of a public transportation system available for general use.
  • B. routeNumber chosen
    Indicates the specific identifying number assigned to a route within a transportation or delivery network.
  • C. hasPublicTransitRoute
    Indicates that there exists a public transportation route (such as a bus, train, or tram line) connecting or serving the related entities.
  • D. hasBusServices
    Indicates that one location or entity is served by bus routes or bus transportation provided by another.
  • E. hasTransportRoute
    Indicates that there exists a designated transportation connection or route linking one entity to 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff4a6e08190a5ca8d191aa7f0ae completed April 19, 2026, 11:43 a.m.
PD Predicate disambiguation batch_69e3f908da508190a088aa837ea5b7af completed April 18, 2026, 9:35 p.m.
Created at: April 10, 2026, 10:25 a.m.