Triple

T6492170
Position Surface form Disambiguated ID Type / Status
Subject Ashland Avenue E148065 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: [Ashland Avenue, crosses, Chicago River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chicago River
Context triple: [Ashland Avenue, 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a9bf9208190b0957eda06ed3d65 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653bf5c30819083e4e5484b2bd8cc completed March 27, 2026, 9:54 a.m.
Created at: March 22, 2026, 4:53 p.m.