Triple

T23098139
Position Surface form Disambiguated ID Type / Status
Subject BART Red Line E575950 entity
Predicate connectsArea P2564 FINISHED
Object Oakland city center 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: Oakland city center | Statement: [BART Red Line, connectsArea, Oakland city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oakland city center
Context triple: [BART Red Line, connectsArea, Oakland city center]
  • A. Downtown Oakland
    Downtown Oakland is the central business district and cultural hub of Oakland, California, known for its historic architecture, arts scene, and major transit connections.
  • B. Oaklands
    Oaklands is a small rural town in New South Wales, Australia, situated within the Riverina region.
  • C. Oakland City Center chosen
    Oakland City Center is a major mixed-use office, retail, and public plaza complex that serves as a commercial and civic hub in downtown Oakland, California.
  • D. Oakland
    Oakland is a small village in northwestern Rhode Island known for its historic mill-era architecture and rural residential character within the town of Burrillville.
  • E. Oakland
    Oakland is a major Pittsburgh neighborhood known as the city’s educational and cultural hub, home to institutions like the University of Pittsburgh and Carnegie Mellon University.
  • 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18de71a088190b91918e6c4ea6e97 completed April 29, 2026, 4:49 a.m.
Created at: April 17, 2026, 3:57 p.m.