Triple

T10186889
Position Surface form Disambiguated ID Type / Status
Subject Lostant, Illinois E236932 entity
Predicate nearestLargerCity P42873 FINISHED
Object Peru, Illinois E236930 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: Peru, Illinois | Statement: [Lostant, Illinois, nearestLargerCity, Peru, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peru, Illinois
Context triple: [Lostant, Illinois, nearestLargerCity, Peru, Illinois]
  • A. Peru, Illinois chosen
    Peru, Illinois is a small city in north-central Illinois situated along the Illinois River and forming part of the LaSalle-Peru metropolitan area.
  • B. Peru, Indiana
    Peru, Indiana is a small city in north-central Indiana known for its historic downtown, circus heritage, and role as the county seat of Miami County.
  • C. Perry, Illinois
    Perry, Illinois is a small rural village located in Pike County in western Illinois.
  • D. LaPlace, Illinois
    LaPlace, Illinois is a small rural village located in Piatt County in central Illinois.
  • E. Paxton, Illinois
    Paxton, Illinois is a small city in central Illinois that serves as an administrative, commercial, and community hub for the surrounding rural region.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded790b488190b1ed4645554873cd completed April 2, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317adddc88190a41d0eabe64f952b completed April 6, 2026, 2:17 a.m.
Created at: March 30, 2026, 9:12 p.m.