Triple

T2168982
Position Surface form Disambiguated ID Type / Status
Subject Woodridge, Illinois E46977 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Darien, Illinois E50135 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: Darien, Illinois | Statement: [Woodridge, Illinois, neighboringMunicipality, Darien, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darien, Illinois
Context triple: [Woodridge, Illinois, neighboringMunicipality, Darien, Illinois]
  • A. Darien, Illinois chosen
    Darien, Illinois is a suburban city located in DuPage County, west of Chicago, known for its residential neighborhoods and parkland.
  • B. Ivesdale, Illinois
    Ivesdale, Illinois is a small rural village located in central Illinois within Champaign County.
  • C. Mendota, Illinois
    Mendota, Illinois is a small city in north-central Illinois known historically as a railroad junction and for its annual Sweet Corn Festival.
  • 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. Mattoon, Illinois
    Mattoon, Illinois is a small city in east-central Illinois known historically as a regional railroad hub and for its agricultural and manufacturing economy.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeadaed481908d6afa942d7155b8 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69bd677fd8a481909455b2a02830bcc6 completed March 20, 2026, 3:28 p.m.
Created at: March 4, 2026, 7:45 p.m.