Triple

T1003238
Position Surface form Disambiguated ID Type / Status
Subject Coast Starlight E21649 entity
Predicate passesThroughCity P416 FINISHED
Object Oakland E5430 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: Oakland | Statement: [Coast Starlight, passesThroughCity, Oakland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oakland
Context triple: [Coast Starlight, passesThroughCity, Oakland]
  • A. Oakland chosen
    Oakland is a major port city in the San Francisco Bay Area known for its cultural diversity, progressive politics, and significant role in West Coast shipping and industry.
  • B. Oakland, Oregon
    Oakland, Oregon is a small historic city in southern Oregon known for its well-preserved 19th-century downtown and rural, agricultural surroundings.
  • C. Alameda, California
    Alameda, California is a Bay Area island city adjacent to Oakland known for its historic Victorian architecture, waterfront parks, and residential neighborhoods.
  • D. San Francisco
    San Francisco is a major coastal city in Northern California known for its hilly landscape, iconic Golden Gate Bridge, and role as a historic center of technology and counterculture.
  • E. Orkland
    Orkland is a municipality in central Norway known for its mix of coastal and inland landscapes, formed through the merger of several former municipalities in Trøndelag county.
  • 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4fe0a548190aee8abf1890e141e completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d73c10c8190a059c3ae6b3a6279 completed March 9, 2026, 5:41 a.m.
Created at: March 1, 2026, 7:41 p.m.