Triple

T17855469
Position Surface form Disambiguated ID Type / Status
Subject Leonore, Illinois E445921 entity
Predicate hasOfficialName P66 FINISHED
Object Leonore, Illinois NE NERFINISHED

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: Leonore, Illinois | Statement: [Leonore, Illinois, hasOfficialName, Leonore, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonore, Illinois
Context triple: [Leonore, Illinois, hasOfficialName, Leonore, Illinois]
  • A. Leonore, Illinois chosen
    Leonore, Illinois is a small village located in LaSalle County in north-central Illinois, United States.
  • B. LaPlace, Illinois
    LaPlace, Illinois is a small rural village located in Piatt County in central Illinois.
  • C. Lovelock, Illinois
    Lovelock, Illinois is a small unincorporated rural community located within Moultrie County in the U.S. state of Illinois.
  • D. Elwood, Illinois
    Elwood, Illinois is a small village in northeastern Illinois known for its rural character and proximity to major transportation and logistics hubs.
  • E. Roanoke, Illinois
    Roanoke, Illinois is a small village in Woodford County that forms part of the broader Peoria region in central Illinois.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4978af9b0819091780281344f5352 completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.