Triple

T3542233
Position Surface form Disambiguated ID Type / Status
Subject 4th and King station E74912 entity
Predicate hasBusLoop P48776 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: [4th and King station, hasBusLoop, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBusLoop
Context triple: [4th and King station, hasBusLoop, yes]
  • A. isLoop
    Indicates that something forms or behaves as a closed, repeating cycle or path that returns to its starting point.
  • B. hasBusOperator
    Indicates that a bus service, route, or vehicle is operated or managed by a specific operator or company.
  • C. hasBusServices
    Indicates that one location or entity is served by bus routes or bus transportation provided by another.
  • D. hasBusInterchange
    Indicates that one transport-related entity includes, contains, or is associated with a bus interchange facility.
  • E. hasBusPlatforms
    Indicates that a location or facility is equipped with one or more designated platforms for boarding or alighting from buses.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf73c5e881909a8352512928377b completed March 8, 2026, 6:26 p.m.
PD Predicate disambiguation batch_69adae15749881909b847c6ca73c934e completed March 8, 2026, 5:12 p.m.
PDg Predicate description generation batch_69adb0a11a1c8190baa8c0eb87ad259a completed March 8, 2026, 5:23 p.m.
Created at: March 8, 2026, 3:20 p.m.