Triple

T7921150
Position Surface form Disambiguated ID Type / Status
Subject Indian Prairie Public Library District E183945 entity
Predicate serves P98 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: [Indian Prairie Public Library District, serves, Darien, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darien, Illinois
Context triple: [Indian Prairie Public Library District, serves, 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. Lacon, Illinois
    Lacon, Illinois is a small city in Marshall County that serves as the county seat and lies along the Illinois River within the broader Peoria metropolitan region.
  • E. Mazon, Illinois
    Mazon, Illinois is a small village in Grundy County known for its rural character and proximity to fossil-rich geological formations.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a9360f881908ca2433d0623315b completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdffe21fc8190acffc2e92d13aa5d completed March 31, 2026, 2:53 p.m.
Created at: March 30, 2026, 5:06 p.m.