Triple

T1354580
Position Surface form Disambiguated ID Type / Status
Subject Neman River E28957 entity
Predicate locatedIn P40 FINISHED
Object Belarus E13665 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: Belarus | Statement: [Neman River, locatedIn, Belarus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belarus
Context triple: [Neman River, locatedIn, Belarus]
  • A. Belarus chosen
    Belarus is an Eastern European country known for its flat landscapes, dense forests, and historical ties to both the Soviet Union and the broader Slavic cultural sphere.
  • B. Belorusskaya
    Belorusskaya is a Moscow Metro station that serves as a key transport hub and interchange point near Belorussky railway terminal.
  • C. Moldova
    Moldova is a landlocked Eastern European country situated between Romania and Ukraine, known for its wine production, agricultural economy, and post-Soviet political landscape.
  • D. Byelorussian Soviet Socialist Republic
    The Byelorussian Soviet Socialist Republic was a constituent republic of the Soviet Union that existed from 1919 to 1991 in the territory of present-day Belarus.
  • E. Lithuania
    Lithuania is a Baltic nation in Northern Europe known for its medieval history, restored independence from the Soviet Union in 1990, and membership in both the European Union and NATO.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c28afc848190925d8b2f9aeac12d completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae7ec74dec8190b26e46c8f472e322 completed March 9, 2026, 8:03 a.m.
Created at: March 1, 2026, 7:56 p.m.