Triple

T8387250
Position Surface form Disambiguated ID Type / Status
Subject Sequoia Park Forest & Garden E197846 entity
Predicate city P40 FINISHED
Object Eureka E3001 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: Eureka | Statement: [Sequoia Park Forest & Garden, city, Eureka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eureka
Context triple: [Sequoia Park Forest & Garden, city, Eureka]
  • A. Eureka chosen
    Eureka is a historic coastal city in Northern California known for its Victorian architecture, maritime heritage, and role as a regional cultural and economic center.
  • B. Eureka
    Eureka is the codename for the Eureka Conference, a World War II meeting between Allied leaders Franklin D. Roosevelt, Winston Churchill, and Joseph Stalin held in Tehran in 1943.
  • C. Eureka
    Eureka is a historic side-wheel paddle steamboat and former ferry now preserved as a museum ship in San Francisco.
  • D. Eureka
    Eureka is a small city in central Illinois best known as the home of Eureka College, where Ronald Reagan studied.
  • E. Eureka
    Eureka is a historic mining town in eastern Nevada known for its well-preserved 19th-century architecture and role in the region’s silver boom.
  • 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb81076eac8190893813628cacc1aa completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde83aac448190b74f65507170a8f7 completed April 2, 2026, 3:53 a.m.
Created at: March 30, 2026, 6:03 p.m.