Triple

T20001404
Position Surface form Disambiguated ID Type / Status
Subject Inhul River E494337 entity
Predicate mouthOfWatercourse P3817 FINISHED
Object Southern Bug NE NERFINISHED

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: Southern Bug | Statement: [Inhul River, mouthOfWatercourse, Southern Bug]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southern Bug
Context triple: [Inhul River, mouthOfWatercourse, Southern Bug]
  • A. Southern Bug
    The Southern Bug is a significant river in Ukraine that flows through the central and southern regions before emptying into the Black Sea.
  • B. Southern Mam
    Southern Mam is a regional variety of the Mam Mayan language spoken primarily in parts of Guatemala.
  • C. Southern Bug River chosen
    The Southern Bug River is a major river in Ukraine that flows southward through central and southern regions before emptying into the Black Sea.
  • D. Southern Agaw
    Southern Agaw are a subgroup of the Agaw people of Ethiopia, known for speaking an Agaw (Central Cushitic) language and maintaining distinct cultural and historical traditions in the northern highlands.
  • E. Southern Crescent
    The Southern Crescent was a famed Southern Railway passenger train that provided luxurious long-distance service between Washington, D.C., and New Orleans during the mid-20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a222908190b88e1d11cb1b7ee3 completed April 20, 2026, 5:25 p.m.
Created at: April 11, 2026, 3:32 p.m.