Triple

T7446766
Position Surface form Disambiguated ID Type / Status
Subject Union, Illinois E171902 entity
Predicate locatedNear P294 FINISHED
Object Marengo, Illinois E214610 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: Marengo, Illinois | Statement: [Union, Illinois, locatedNear, Marengo, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marengo, Illinois
Context triple: [Union, Illinois, locatedNear, 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. 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.
  • C. Matteson, Illinois
    Matteson, Illinois is a suburban village in the Chicago metropolitan area known for its residential communities and retail centers.
  • D. Mazon, Illinois
    Mazon, Illinois is a small village in Grundy County known for its rural character and proximity to fossil-rich geological formations.
  • E. Leonore, Illinois
    Leonore, Illinois is a small village located in LaSalle County in north-central Illinois, United States.
  • 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_69c68a65402881908f7869368eb746fb completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f371be2081908feaeb9392cb65fe completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83451fcfc8190b32840c3c3448962 completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:14 p.m.