Triple

T17824337
Position Surface form Disambiguated ID Type / Status
Subject Oglesby, Illinois E445073 entity
Predicate locatedNear P294 FINISHED
Object Peru, 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: Peru, Illinois | Statement: [Oglesby, Illinois, locatedNear, Peru, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peru, Illinois
Context triple: [Oglesby, Illinois, locatedNear, 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. Andalusia, Illinois
    Andalusia, Illinois is a small village in western Illinois situated along the Mississippi River near the Quad Cities metropolitan area.
  • D. Lima, Illinois
    Lima, Illinois is a small rural village located in Adams County in western Illinois, near the Mississippi River.
  • E. Perry, Illinois
    Perry, Illinois is a small rural village located in Pike County in western 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4891352ac8190ad3d669fea1c9fbb completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.