Triple

T9442758
Position Surface form Disambiguated ID Type / Status
Subject Venusia E227686 entity
Predicate nearRiver P350 FINISHED
Object Ofanto River E545838 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: Ofanto River | Statement: [Venusia, nearRiver, Ofanto River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ofanto River
Context triple: [Venusia, nearRiver, Ofanto River]
  • A. Ofanto River chosen
    The Ofanto River is a major river in southern Italy that flows through the regions of Campania, Basilicata, and Apulia before emptying into the Adriatic Sea.
  • B. Gete River
    The Gete River is a small river in central Belgium that flows through the town of Tienen and ultimately feeds into the Demer River.
  • C. Esla River
    The Esla River is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Douro River.
  • D. Suchiate River
    The Suchiate River is a Central American river that forms part of the international boundary between Mexico and Guatemala before emptying into the Pacific Ocean.
  • E. Letaba River
    The Letaba River is a major watercourse in northeastern South Africa that flows through the Kruger National Park, supporting diverse wildlife and ecosystems along its banks.
  • 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f300cc88190a793712706295c53 completed April 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a8c95ca081908ceaa89eef87fbc9 completed April 18, 2026, 3:52 p.m.
Created at: March 30, 2026, 7:50 p.m.