Triple

T21392273
Position Surface form Disambiguated ID Type / Status
Subject Grizzly Peak E527683 entity
Predicate accessibleFrom P1985 FINISHED
Object Orinda 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: Orinda | Statement: [Grizzly Peak, accessibleFrom, Orinda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orinda
Context triple: [Grizzly Peak, accessibleFrom, Orinda]
  • A. Orinda chosen
    Orinda is a suburban city in Contra Costa County, California, known for its affluent residential character, wooded hills, and role as a commuter community in the San Francisco Bay Area.
  • B. Nicholaston
    Nicholaston is a small coastal village on Wales’s scenic Gower Peninsula, known for its proximity to dunes, woodlands, and the popular Nicholaston Burrows and beach.
  • C. Vindrey
    Vindrey is a rural locality in Russia notable as the birthplace of Soviet Marshal Sergei Akhromeyev.
  • D. Merrillia
    Merrillia is a small genus of flowering plants in the citrus family Rutaceae, known for its tropical tree species.
  • E. Anadia
    Anadia is a municipality and town in Portugal known for its wine production and thermal spas, located in the country's Centro Region.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62cd30f08190aba90afed6116a2a completed April 26, 2026, 7:09 p.m.
Created at: April 16, 2026, 5:13 p.m.