Triple

T17787722
Position Surface form Disambiguated ID Type / Status
Subject Metuje River E444062 entity
Predicate hasNameInLanguage P15 FINISHED
Object Metuje 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: Metuje | Statement: [Metuje River, hasNameInLanguage, Metuje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metuje
Context triple: [Metuje River, hasNameInLanguage, Metuje]
  • A. Metuje chosen
    Metuje is a river in northeastern Bohemia in the Czech Republic, known for flowing through towns such as Nové Město nad Metují and contributing to the Elbe river basin.
  • B. Mézin
    Mézin is a small commune in southwestern France, known as the birthplace of former French President Armand Fallières.
  • C. Uherka
    Uherka is a river in eastern Poland that serves as a tributary of the Western Bug, flowing through the Lublin region.
  • D. Muhos
    Muhos is a municipality in Northern Ostrobothnia, Finland, known for its riverside landscapes along the Oulujoki and its proximity to the city of Oulu.
  • E. Melinka
    Melinka is a small coastal town in southern Chile that serves as the main settlement and administrative center of the remote Guaitecas Archipelago.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48794542c8190b049bce6e28c9f3a completed April 19, 2026, 7:43 a.m.
Created at: April 10, 2026, 10:12 a.m.