Triple

T17839304
Position Surface form Disambiguated ID Type / Status
Subject Dyje E445476 entity
Predicate hasNameInGerman P22792 FINISHED
Object Thaya 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: Thaya | Statement: [Dyje, hasNameInGerman, Thaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thaya
Context triple: [Dyje, hasNameInGerman, Thaya]
  • A. Thaya chosen
    Thaya is a river in Central Europe that flows through Austria and the Czech Republic, forming part of the border between the two countries.
  • B. Thayar
    Thayar is a revered Hindu mother goddess, especially honored in Sri Vaishnavism as the compassionate consort of Lord Vishnu.
  • C. Sarayan
    Sarayan is a small city in eastern Iran known as an administrative and agricultural center within South Khorasan Province.
  • D. Maiana
    Maiana is a low-lying coral atoll in the central Pacific nation of Kiribati, known for its traditional village life and vulnerability to sea-level rise.
  • E. Magarima
    Magarima is a small town in Papua New Guinea’s Hela Province, serving as a local administrative and service center for surrounding rural communities.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d2a570c81909787296bde7e795c completed April 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 10:16 a.m.