Triple

T10297563
Position Surface form Disambiguated ID Type / Status
Subject Cicero station E241533 entity
Predicate servesArea P82 FINISHED
Object Cicero, Illinois 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: Cicero, Illinois | Statement: [Cicero station, servesArea, Cicero, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cicero, Illinois
Context triple: [Cicero station, servesArea, Cicero, Illinois]
  • A. 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.
  • B. Seneca, Illinois
    Seneca, Illinois is a small village in northeastern Illinois situated along the Illinois River, known historically for its role in World War II shipbuilding.
  • C. Cairo, Illinois
    Cairo, Illinois is a historic river town at the confluence of the Mississippi and Ohio Rivers that played a significant role in regional trade, transportation, and Civil War history.
  • D. Columbus, Illinois
    Columbus, Illinois is a small village located in Adams County in western Illinois, United States.
  • E. Virgil, Illinois
    Virgil, Illinois is a small rural village located in Kane County in the northern part of the state.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ebd258819099fadddcd13099fc completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998671c1c8190be2012a3faf6ba35 completed April 11, 2026, 12:40 a.m.
Created at: April 6, 2026, 11:43 a.m.