Triple

T8512832
Position Surface form Disambiguated ID Type / Status
Subject California coast E201499 entity
Predicate hasMajorCity P316 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: [California coast, hasMajorCity, Oakland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oakland
Context triple: [California coast, hasMajorCity, Oakland]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Oakland, Oregon
    Oakland, Oregon is a small historic city in southern Oregon known for its well-preserved 19th-century downtown and rural, agricultural surroundings.
  • E. Alameda, California
    Alameda, California is a Bay Area island city adjacent to Oakland known for its historic Victorian architecture, waterfront parks, and residential neighborhoods.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60cdfcc819081a9be1229378ba0 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce88ec84208190ab72c8411e6cc4c2 completed April 2, 2026, 3:19 p.m.
Created at: March 30, 2026, 6:15 p.m.