Triple

T16334629
Position Surface form Disambiguated ID Type / Status
Subject BART Orange Line E396644 entity
Predicate servesRegion P82 FINISHED
Object South Bay E20431 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: South Bay | Statement: [BART Orange Line, servesRegion, South Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Bay
Context triple: [BART Orange Line, servesRegion, South Bay]
  • A. South Bay chosen
    South Bay is the southern region of the San Francisco Bay Area, known for encompassing much of Silicon Valley and several major tech-centric cities.
  • B. South Bay
    South Bay is a coastal region in southwestern Los Angeles County known for its beach cities, aerospace industry presence, and suburban communities.
  • C. South Bay
    South Bay was the historical name of the small town now known as Bucoda in Washington State.
  • D. South Bay
    South Bay is a popular sandy beach and sheltered bay on the North Sea coast at Scarborough, North Yorkshire, known for its traditional seaside attractions and promenade.
  • E. South Bay
    South Bay is a coastal settlement in New Zealand’s Kaikōura District, known for its marine wildlife, fishing, and scenic seaside environment.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e29db88190936a07deb5b1c1e3 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0026173dc081909e00f6647d1f68b3 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:07 a.m.