Triple

T19634202
Position Surface form Disambiguated ID Type / Status
Subject Illinois Route 23 E471346 entity
Predicate connectsCity P4245 FINISHED
Object Marengo, 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: Marengo, Illinois | Statement: [Illinois Route 23, connectsCity, Marengo, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marengo, Illinois
Context triple: [Illinois Route 23, connectsCity, Marengo, Illinois]
  • A. Marengo, Illinois chosen
    Marengo, Illinois is a small city in northern Illinois known for its rural character and historic downtown within the greater Chicago metropolitan area.
  • B. Marengo, Indiana
    Marengo, Indiana is a small town in southern Indiana known for its rural setting and proximity to natural attractions like Marengo Cave.
  • C. Maroa, Illinois
    Maroa, Illinois is a small rural community in central Illinois known for its agricultural surroundings and proximity to the city of Decatur.
  • D. Meredosia, Illinois
    Meredosia, Illinois is a small village in Morgan County situated along the Illinois River in the central part of the state.
  • E. Mokena, Illinois
    Mokena, Illinois is a suburban village southwest of Chicago known for its residential communities, good schools, and location within Will County’s growing metropolitan area.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64104ff2881908fec49b7fba5a2e6 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.