Triple

T8109365
Position Surface form Disambiguated ID Type / Status
Subject Pleven E189307 entity
Predicate hasRiver P165 FINISHED
Object Vit River E516915 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: Vit River | Statement: [Pleven, hasRiver, Vit River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vit River
Context triple: [Pleven, hasRiver, Vit River]
  • A. Vizezy River
    The Vizezy River is a small watercourse in central France that flows through the town of Montbrison in the Loire department.
  • B. Vacha River chosen
    The Vacha River is a significant river in southern Bulgaria known for its deep gorges, hydroelectric dams, and reservoirs as it flows through the Rhodope Mountains.
  • C. Vrodamas River
    The Vrodamas River is an alternative local name for the Eurotas River, a major river flowing through the region of Laconia in the Peloponnese of southern Greece.
  • D. Vijciems River
    Vijciems River is a smaller watercourse in Latvia that serves as one of the tributaries feeding into the Gauja River.
  • E. Velino River
    The Velino River is a watercourse in central Italy that flows through the city of Rieti before joining the Nera River near Terni.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fbc57c81908c6be87bbc547085 completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d100a1ad688190b1a2fc91ce3dbdc3 completed April 4, 2026, 12:14 p.m.
Created at: March 30, 2026, 5:32 p.m.