Triple

T6840882
Position Surface form Disambiguated ID Type / Status
Subject Niemen E157569 entity
Predicate hasNameInPolish P15778 FINISHED
Object Niemen E28957 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: Niemen | Statement: [Niemen, hasNameInPolish, Niemen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niemen
Context triple: [Niemen, hasNameInPolish, Niemen]
  • A. Nemunas River
    The Nemunas River is the largest river in Lithuania, flowing through major cities like Kaunas and forming part of the country’s border before emptying into the Curonian Lagoon.
  • B. Narva River
    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.
  • C. Vilnia River
    The Vilnia River is a picturesque tributary of the Neris River in Lithuania, flowing through and giving its name to the capital city of Vilnius.
  • D. Neman River chosen
    The Neman River is a major river in Eastern Europe that flows through Belarus and Lithuania before emptying into the Baltic Sea.
  • E. Gauja
    Gauja is the longest river entirely within Latvia, known for its scenic valley, sandstone cliffs, and the national park that bears its name.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6b4a1f88190b4f532828697fbd8 completed March 27, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eeb79b9c819084738c207aa5c62d completed March 28, 2026, 3:07 p.m.
Created at: March 27, 2026, 2:19 p.m.