Triple

T3571247
Position Surface form Disambiguated ID Type / Status
Subject KC metro E75574 entity
Predicate hasRiver P165 FINISHED
Object Blue River E148062 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: Blue River | Statement: [KC metro, hasRiver, Blue River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue River
Context triple: [KC metro, hasRiver, Blue River]
  • A. Blue River chosen
    Blue River is a tributary of the Missouri River that flows through eastern Kansas and western Missouri, including the Kansas City metropolitan area.
  • B. Bei River
    The Bei River is one of the principal tributaries of southern China’s Pearl River system, flowing through Guangdong province and helping drain the Pearl River Delta region.
  • C. Spring River
    Spring River is a tributary of the Arkansas River that flows through parts of Kansas, Missouri, and Oklahoma in the central United States.
  • D. Black River
    Black River is a common river name used in various regions worldwide, typically referring to waterways characterized by dark-colored water due to organic matter or sediment.
  • E. Axios River
    The Axios River is a major river in the Balkans that flows through North Macedonia into northern Greece, where it empties into the Aegean Sea.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0c32624819097a96b3d62e3d8f0 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b556076b34819097b15b60a91b5164 completed March 14, 2026, 12:35 p.m.
Created at: March 8, 2026, 3:21 p.m.