Triple

T14328911
Position Surface form Disambiguated ID Type / Status
Subject The Last Days of Louisiana Red E355286 entity
Predicate setInCity P7747 FINISHED
Object Oakland, California 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, California | Statement: [The Last Days of Louisiana Red, setInCity, Oakland, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oakland, California
Context triple: [The Last Days of Louisiana Red, setInCity, Oakland, California]
  • A. Oakland
    Oakland is a neighborhood on Chicago’s South Side known for its historic residential architecture and proximity to the lakefront.
  • B. Oakland
    Oakland is a small city in western Iowa, United States, known for its rural Midwestern character and local agricultural community.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c1c3e70819084b6728ac5c18561 completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd467d45c88190ac6ac280aa691591 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:13 a.m.