Triple

T15851455
Position Surface form Disambiguated ID Type / Status
Subject TAP E384349 entity
Predicate usedOn P2367 FINISHED
Object Montebello Bus Lines E81549 NE 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: Montebello Bus Lines | Statement: [TAP, usedOn, Montebello Bus Lines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montebello Bus Lines
Context triple: [TAP, usedOn, Montebello Bus Lines]
  • A. Montebello Bus Lines chosen
    Montebello Bus Lines is a public transit agency serving the city of Montebello and surrounding communities in Los Angeles County with local and express bus services.
  • B. Omnitrans
    Omnitrans is the primary public bus transit agency serving San Bernardino County and surrounding communities in Southern California.
  • C. National Bus Company
    The National Bus Company was a large state-owned operator that oversaw most local and regional bus services in England and Wales from the late 1960s until its privatization in the 1980s.
  • D. Carris bus lines
    Carris bus lines are the public bus services operating in Lisbon, Portugal, connecting neighborhoods such as Graça with the rest of the city.
  • E. Bee-Line Bus System
    The Bee-Line Bus System is a public transit network operating local and express bus routes throughout Westchester County, New York, and into parts of New York City.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14cacf5f08190a0dfe22018ed7905 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa147bce481909fb6f6ef2793a5a8 completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.