Triple

T1658744
Position Surface form Disambiguated ID Type / Status
Subject Tehran Conference E35857 entity
Predicate hasCodename P6015 FINISHED
Object Eureka E35857 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: [Tehran Conference, hasCodename, Eureka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eureka
Context triple: [Tehran Conference, hasCodename, Eureka]
  • A. Eureka
    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 chosen
    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. Kay
    Kay is a common diminutive or nickname for the given name Catherine.
  • E. Eureka, California
    Eureka, California is a historic coastal city in Northern California known for its Victorian architecture, working seaport, and proximity to the region’s famous redwood forests.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90aafe5e881908158fab83998fd07 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71ab0ea0819099662964aab9609e completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:29 p.m.