Triple

T2939980
Position Surface form Disambiguated ID Type / Status
Subject Los Angeles Metro bus lines E79361 entity
Predicate serves P98 FINISHED
Object Glendale E78943 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: Glendale | Statement: [Los Angeles Metro bus lines, serves, Glendale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glendale
Context triple: [Los Angeles Metro bus lines, serves, Glendale]
  • A. Glendale chosen
    Glendale is a city in Los Angeles County, California, known for its diverse communities, shopping districts like the Americana at Brand, and proximity to both urban Los Angeles and the Verdugo Mountains.
  • B. Glendale
    Glendale is a residential neighbourhood within the city of Pickering in Ontario, Canada.
  • C. Glendale
    Glendale is a primarily residential neighborhood in the central-southern part of Queens, New York City, known for its quiet streets, local shops, and proximity to major cemeteries and parks.
  • D. Glendale
    Glendale is a city in Arizona known for hosting major sporting and entertainment events, including NFL games and the Super Bowl.
  • E. Encino
    Encino is a residential neighborhood in the San Fernando Valley region of Los Angeles known for its suburban character, affluent homes, and proximity to major city amenities.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad986d9a248190927efc1a0c7d247f completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e4337e08190a49ab75d45964dba completed March 13, 2026, 3:02 a.m.
Created at: March 8, 2026, 2:56 p.m.