Triple

T5587789
Position Surface form Disambiguated ID Type / Status
Subject Watertown, New York, United States E146797 entity
Predicate river P165 FINISHED
Object Black River E277676 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: Black River | Statement: [Watertown, New York, United States, river, Black River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Black River
Context triple: [Watertown, New York, United States, river, Black River]
  • A. Black River chosen
    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.
  • B. Long River
    Long River is the English translation of the Chinese name for the Yangtze, Asia’s longest river and a major waterway in China.
  • C. 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.
  • D. Don River
    The Don River is a significant waterway in Toronto, Ontario, that flows south through the city into Lake Ontario and has played an important role in its urban and environmental history.
  • E. Don River
    The Don River is a major river in southwestern Russia that flows from the Central Russian Upland to the Sea of Azov and has long held strategic and historical importance, including during World War II.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0209e892c8190b936a05ef2a14d36 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11c9026fc8190abb0fb3e71d5639f completed March 23, 2026, 10:57 a.m.
Created at: March 22, 2026, 3:38 p.m.