Triple

T10297577
Position Surface form Disambiguated ID Type / Status
Subject Cicero station E241533 entity
Predicate town P3385 FINISHED
Object Cicero E367331 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 | Statement: [Cicero station, town, Cicero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cicero
Context triple: [Cicero station, town, Cicero]
  • A. Cicero
    Cicero was a renowned Roman statesman, orator, and philosopher whose speeches and writings profoundly influenced Latin literature and Western political thought.
  • B. Cicero chosen
    Cicero is a rapid transit station in Chicago serving the Chicago Transit Authority’s Blue Line.
  • C. Cato the Elder
    Cato the Elder was a Roman statesman, orator, and moralist known for his staunch conservatism, advocacy of traditional Roman values, and repeated calls for the destruction of Carthage.
  • D. Marcus Tullius Cicero Minor
    Marcus Tullius Cicero Minor was the son of the famed Roman orator Cicero who later became consul of the Roman Republic in 30 BC.
  • E. Lucilius
    Lucilius was an early Roman satirist, often regarded as the founder of Roman verse satire and a major influence on later satirists like Juvenal.
  • 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_69d71d2cc9c48190bc36f6a4f8144b7f completed April 9, 2026, 3:29 a.m.
Created at: April 6, 2026, 11:43 a.m.