Triple

T11486401
Position Surface form Disambiguated ID Type / Status
Subject City of Chicago E272290 entity
Predicate namedAfter P63 FINISHED
Object Chicago River E13146 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: Chicago River | Statement: [City of Chicago, namedAfter, Chicago River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago River
Context triple: [City of Chicago, namedAfter, Chicago River]
  • A. Chicago River chosen
    The Chicago River is a historically significant waterway in Chicago known for its engineered reversal of flow, its role in the city’s development, and its iconic green dyeing on St. Patrick’s Day.
  • B. Fox River
    The Fox River is a Midwestern U.S. river that flows through Wisconsin and Illinois, supporting numerous communities and ecosystems along its course.
  • C. Lo River
    The Lo River is a significant river in northern Vietnam that flows through mountainous and agricultural regions before joining the Red River system.
  • D. Han River
    The Han River is a major tributary of the Yangtze River in central China, flowing through Hubei province and the city of Wuhan.
  • E. Han River
    The Han River is a central waterway in Da Nang, Vietnam, known for its scenic riverside skyline and iconic bridges such as the Dragon Bridge and Han River Bridge.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a1fc9688190aacc2eed64229b79 completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f018963218819097771032a88688af completed April 28, 2026, 2:16 a.m.
Created at: April 8, 2026, 9:36 p.m.