Triple

T21445331
Position Surface form Disambiguated ID Type / Status
Subject LWT E529056 entity
Predicate notableProgramme P2513 FINISHED
Object On the Buses NE NERFINISHED

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: On the Buses | Statement: [LWT, notableProgramme, On the Buses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: On the Buses
Context triple: [LWT, notableProgramme, On the Buses]
  • A. On the Buses chosen
    On the Buses is a British television sitcom from the late 1960s and early 1970s that humorously follows the misadventures of bus driver Stan Butler and his coworkers.
  • B. The Bus
    The Bus is the nickname of New Zealand rugby union winger Julian Savea, renowned for his powerful, hard-running style and prolific try-scoring.
  • C. The Bus
    The Bus is the nickname of Jerome Bettis, a Hall of Fame NFL running back renowned for his powerful, bruising rushing style with the Pittsburgh Steelers.
  • D. The Bus
    The Bus is the public transportation system serving the Marble Valley region, providing local and regional bus services for residents and visitors.
  • E. Viva Rapid Transit
    Viva Rapid Transit is a bus rapid transit system serving communities across York Region in the Greater Toronto Area, designed to provide fast, frequent, and reliable public transportation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b707ecd88190b3576b8923840870 completed April 22, 2026, 11:54 a.m.
Created at: April 16, 2026, 6:05 p.m.