Triple

T21370844
Position Surface form Disambiguated ID Type / Status
Subject Eureka, Illinois E527055 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 historic mining town in eastern Nevada known for its well-preserved 19th-century architecture and role in the region’s silver boom.
  • E. Eureka
    Eureka is a small rural community located in Pictou County in the Canadian province of Nova Scotia.
  • 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 chosen
    Eureka is a small city in central Illinois best known as the home of Eureka College, where Ronald Reagan studied.
  • B. Eureka
    Eureka is a small city in eastern Missouri, United States, known for hosting the Six Flags St. Louis amusement park and serving as a suburban community near the St. Louis metropolitan area.
  • C. 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.
  • D. 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.
  • E. 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.
  • F. None of above.

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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0ae92c88190a3d3097f5b268a79 completed April 22, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09b41c930c8190ac11bdfabadbc237 completed May 17, 2026, 12:27 p.m.
NEDg Description generation batch_6a09b4da24948190ad67a98bd1ede5dd completed May 17, 2026, 12:30 p.m.
NED2 Entity disambiguation (via description) batch_6a09b5daceac81909ecfa50967c77f58 completed May 17, 2026, 12:34 p.m.
Created at: April 16, 2026, 5:10 p.m.