Triple

T11205155
Position Surface form Disambiguated ID Type / Status
Subject Râul Negru E265140 entity
Predicate hasAlternativeName P39 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: [Râul Negru, hasAlternativeName, Black River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black River
Context triple: [Râul Negru, hasAlternativeName, Black River]
  • A. Black River
    Black River is a coastal town in Cornwall County, Jamaica, historically known as one of the island’s oldest ports and an early adopter of electricity.
  • B. 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.
  • C. You River
    The You River is a tributary waterway in southern China that feeds into the larger Yuan River system.
  • D. 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.
  • E. John River
    John River is a river in Alaska that flows through the Brooks Range region and is known for its remote, wilderness character.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d355c481908fc3d555b596314d completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb58e50bc819086622a33b59cc332 completed May 9, 2026, 10:30 p.m.
Created at: April 8, 2026, 9:30 p.m.