Triple

T843363
Position Surface form Disambiguated ID Type / Status
Subject Hanyang E18224 entity
Predicate locatedAtConfluenceOf P11842 FINISHED
Object Han River E54414 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: Han River | Statement: [Hanyang, locatedAtConfluenceOf, Han River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Han River
Context triple: [Hanyang, locatedAtConfluenceOf, Han River]
  • A. Han River chosen
    The Han River is a major tributary of the Yangtze River in central China, flowing through Hubei province and the city of Wuhan.
  • 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. Illinois River
    The Illinois River is a principal waterway in the U.S. state of Illinois that serves as a key tributary of the Mississippi River and an important route for transportation, commerce, and recreation.
  • D. Rock River
    Rock River is a tributary of the Big Sioux River flowing through parts of Iowa and South Dakota in the United States.
  • E. Chicago River
    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.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac07fedc8190ab05595f25c1792f completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69acddfa1d48819081538d6505fa062c completed March 8, 2026, 2:24 a.m.
Created at: March 1, 2026, 7:38 p.m.