Triple

T17800201
Position Surface form Disambiguated ID Type / Status
Subject Slantsevsky District E444402 entity
Predicate locatedOn P40 FINISHED
Object Narva River 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: Narva River | Statement: [Slantsevsky District, locatedOn, Narva River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narva River
Context triple: [Slantsevsky District, locatedOn, Narva River]
  • A. Narva River chosen
    The Narva River is a major river in northeastern Europe that forms part of the border between Estonia and Russia, flowing from Lake Peipus into the Baltic Sea.
  • B. Daugava River
    The Daugava River is a major Eastern European river flowing through Russia, Belarus, and Latvia before emptying into the Baltic Sea.
  • C. Lida River
    The Lida River is a waterway in western Belarus that flows through the town of Lida and forms part of the region’s local river system.
  • D. Gołdapa River
    The Gołdapa River is a watercourse in northeastern Poland that flows through the town of Gołdap before joining larger regional river systems.
  • E. Onega River
    The Onega River is a major river in northwestern Russia that flows through the Karelia region before emptying into the White Sea.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487fe19dc8190b7e9dc96f39e0861 completed April 19, 2026, 7:45 a.m.
Created at: April 10, 2026, 10:13 a.m.