Triple

T343020
Position Surface form Disambiguated ID Type / Status
Subject 1989 World Series E6877 entity
Predicate city P40 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: [1989 World Series, city, Oakland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oakland
Context triple: [1989 World Series, city, 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. 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.
  • C. 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.
  • D. Sacramento
    Sacramento is the capital city of the U.S. state of California, known for its role as the state’s political center and its historic roots in the Gold Rush era.
  • E. Fremont
    Fremont is a large suburban city in the San Francisco Bay Area known for its diverse population, tech industry presence, and proximity to Silicon Valley.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eb0019088190a9b969c4287dc4fa completed Feb. 28, 2026, 1:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad01211c2c8190bc107dae8a9ec2a2 completed March 8, 2026, 4:54 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.