Triple

T415444
Position Surface form Disambiguated ID Type / Status
Subject San Francisco Maritime National Historical Park E9581 entity
Predicate hasShip P14595 FINISHED
Object Eureka E36918 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: [San Francisco Maritime National Historical Park, hasShip, Eureka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eureka
Context triple: [San Francisco Maritime National Historical Park, hasShip, Eureka]
  • A. 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.
  • B. 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.
  • C. Kay
    Kay is a common diminutive or nickname for the given name Catherine.
  • D. Eureka, California chosen
    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.
  • E. Atlas
    Atlas is a highly advanced humanoid robot developed by Boston Dynamics for DARPA, designed for complex, human-like mobility and manipulation in disaster-response and research environments.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f01be4108190b4c13346afd95a03 completed Feb. 28, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69a423a2ddb08190bdee170f843c2a19 completed March 1, 2026, 11:31 a.m.
Created at: Feb. 28, 2026, 1:09 p.m.