Triple

T4174787
Position Surface form Disambiguated ID Type / Status
Subject Ben Zobrist E86449 entity
Predicate birthPlace P1 FINISHED
Object Eureka, Illinois E527055 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, Illinois | Statement: [Ben Zobrist, birthPlace, Eureka, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eureka, Illinois
Context triple: [Ben Zobrist, birthPlace, Eureka, Illinois]
  • A. Eureka, Illinois chosen
    Eureka, Illinois is a small central Illinois village best known as the home of Eureka College, where Ronald Reagan studied.
  • B. Elwood, Illinois
    Elwood, Illinois is a small village in northeastern Illinois known for its rural character and proximity to major transportation and logistics hubs.
  • C. Erie, Illinois
    Erie, Illinois is a small village in Whiteside County in northwestern Illinois, known for its rural community character within the broader Sterling area.
  • D. Roanoke, Illinois
    Roanoke, Illinois is a small village in Woodford County that forms part of the broader Peoria region in central Illinois.
  • E. Newark, Illinois
    Newark, Illinois is a small rural village in northern Illinois known for its agricultural surroundings and close-knit community.
  • 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_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_69c0a127b0e48190880ee84f45bed359 completed March 23, 2026, 2:10 a.m.
Created at: March 9, 2026, 3:45 p.m.