Triple

T4174794
Position Surface form Disambiguated ID Type / Status
Subject Eureka, Illinois E86449 entity
Predicate hasName P744 FINISHED
Object Eureka
Eureka is a small city in central Illinois best known as the home of Eureka College, where Ronald Reagan studied.
 E418464 NE FINISHED

How this triple was built (4 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: [Eureka, Illinois, hasName, Eureka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eureka
Context triple: [Eureka, Illinois, hasName, 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
    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 science fiction television series that follows the quirky residents of a secret high-tech town where brilliant scientists’ experiments frequently go awry.
  • E. Eureka
    Eureka is an experimental rock and avant-garde album by American musician and producer Jim O'Rourke, noted for its intricate arrangements and genre-blending sound.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Eureka
Triple: [Eureka, Illinois, hasName, Eureka]
Generated description
Eureka is a small city in central Illinois best known as the home of Eureka College, where Ronald Reagan studied.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eureka
Target entity description: Eureka is a small city in central Illinois best known as the home of Eureka College, where Ronald Reagan studied.
  • 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
    Eureka is a small, remote research and weather station in the Canadian High Arctic, known as one of the northernmost permanently inhabited places in the world.
  • C. 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.
  • D. Eureka
    Eureka is a historic side-wheel paddle steamboat and former ferry now preserved as a museum ship in San Francisco.
  • E. Eureka
    Eureka is a science fiction television series that follows the quirky residents of a secret high-tech town where brilliant scientists’ experiments frequently go awry.
  • F. None of above. chosen

Provenance (5 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02e9370481908eda048724261c2b completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f5428a0819082aaea8950a7c039 completed March 14, 2026, 3:31 p.m.
NEDg Description generation batch_69b5800ab42c8190a1bc6f84db38f170 completed March 14, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5843d6ac88190804242661d077546 completed March 14, 2026, 3:52 p.m.
Created at: March 9, 2026, 3:45 p.m.