Triple

T4393633
Position Surface form Disambiguated ID Type / Status
Subject 54th/Cermak E99426 entity
Predicate servesCommunity P82 FINISHED
Object Town of Cicero E23252 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: Town of Cicero | Statement: [54th/Cermak, servesCommunity, Town of Cicero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of Cicero
Context triple: [54th/Cermak, servesCommunity, Town of Cicero]
  • A. Town of Niles
    The Town of Niles is a rural municipality in Cayuga County, New York, known for its scenic Finger Lakes landscapes and lakeside communities.
  • B. Cicero, Illinois chosen
    Cicero, Illinois is a historic inner-ring suburb of Chicago known for its industrial base, dense residential neighborhoods, and significant immigrant communities.
  • C. Cicero Township
    Cicero Township is a civil township in Cook County, Illinois, that encompasses the town of Cicero and parts of the Chicago metropolitan area.
  • D. City of Watseka
    City of Watseka is a small municipal community in Iroquois County in eastern Illinois, serving as the county seat and local economic center.
  • E. Village of Lombard
    The Village of Lombard is a suburban community in DuPage County, Illinois, known for its residential neighborhoods, local parks, and annual Lilac Time festival.
  • 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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352a8862481909dc67abf42be6928 completed March 12, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e53385508190ac1261c44672070b completed March 14, 2026, 10:46 p.m.
Created at: March 12, 2026, 11:19 p.m.