Triple

T10872113
Position Surface form Disambiguated ID Type / Status
Subject Itasca station E256682 entity
Predicate near P350 FINISHED
Object downtown Itasca, Illinois E48217 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: downtown Itasca, Illinois | Statement: [Itasca station, near, downtown Itasca, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: downtown Itasca, Illinois
Context triple: [Itasca station, near, downtown Itasca, Illinois]
  • A. Itasca, Illinois chosen
    Itasca, Illinois is a suburban village in DuPage County known for its residential character, business parks, and proximity to Chicago’s O’Hare International Airport.
  • B. Lombard, Illinois
    Lombard, Illinois is a suburban village in the Chicago metropolitan area known for its historic Lilac Festival and residential character.
  • C. Milan, Illinois
    Milan, Illinois is a small village in Rock Island County that forms part of the Quad Cities metropolitan area in western Illinois.
  • D. Atlas, Illinois
    Atlas, Illinois is a small unincorporated community located in rural Pike County in western Illinois.
  • E. Aurora, Illinois
    Aurora, Illinois is a major city in the Chicago metropolitan area known for its historic downtown, diverse population, and role as a regional economic and cultural center.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751885b348190baf6eb606089a438 completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7dbea28819083511b56bcd7d4ce completed April 15, 2026, 8:41 p.m.
Created at: April 8, 2026, 9:21 p.m.