Triple

T8191778
Position Surface form Disambiguated ID Type / Status
Subject Columbus Drive E191325 entity
Predicate crosses P416 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: [Columbus Drive, crosses, Chicago River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chicago River
Context triple: [Columbus Drive, crosses, 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. 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.
  • D. 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.
  • E. Han River
    The Han River is a major river in South Korea that flows through the capital city of Seoul and serves as a central geographic and cultural landmark.
  • 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4da4a6f08190be8088a28d928341 completed March 31, 2026, 4:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce8861dc6481908ad83c99a2798f6e completed April 2, 2026, 3:16 p.m.
Created at: March 30, 2026, 5:42 p.m.