Triple

T5328902
Position Surface form Disambiguated ID Type / Status
Subject Satu Mare E123254 entity
Predicate locatedOnRiver P165 FINISHED
Object Someș River E485873 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: Someș River | Statement: [Satu Mare, locatedOnRiver, Someș River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Someș River
Context triple: [Satu Mare, locatedOnRiver, Someș River]
  • A. Someș River chosen
    The Someș River is a major river in northwestern Romania that flows through cities like Cluj-Napoca and Satu Mare before joining the Tisza River.
  • B. Dâmbovița River
    The Dâmbovița River is a central Romanian waterway that flows through and historically shaped the development of Bucharest.
  • C. Olteț River
    The Olteț River is a tributary watercourse in southern Romania that flows through several counties before joining the larger Olt River.
  • D. Bârlad River
    The Bârlad River is a significant river in eastern Romania that flows through the historical region of Moldavia before joining the Prut River.
  • E. Strei River
    The Strei River is a significant river in Transylvania, Romania, known for flowing through Hunedoara County and joining the Mureș River.
  • 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_69bd46477f9081909d242a327d749466 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8593bd6c8190b2054e548ddf2458 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21bebea0819083e6deae67f3e834 completed March 21, 2026, 10:54 p.m.
Created at: March 20, 2026, 2 p.m.