Triple

T14364876
Position Surface form Disambiguated ID Type / Status
Subject Eskişehir Province E356204 entity
Predicate hasRiver P165 FINISHED
Object Porsuk River 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: Porsuk River | Statement: [Eskişehir Province, hasRiver, Porsuk River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porsuk River
Context triple: [Eskişehir Province, hasRiver, Porsuk River]
  • A. Porsuk River chosen
    The Porsuk River is a significant waterway in western Turkey that flows through the city of Eskişehir before joining the Sakarya River.
  • B. Wieprz River
    The Wieprz River is a major river in eastern Poland that flows through the Lublin region before joining the Vistula River.
  • C. Tuul River
    The Tuul River is a major river in central Mongolia that flows through the capital city, Ulaanbaatar, and plays an important role in the region’s ecology and water supply.
  • D. Olza River
    The Olza River is a Central European river that flows through the historical region of Cieszyn Silesia, forming part of the border between Poland and the Czech Republic.
  • E. Uono River
    The Uono River is a river in Niigata Prefecture, Japan, that flows through the Uonuma region before joining the Shinano River.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fad48748190a0f34ca4d02f9a3c completed April 14, 2026, 7:04 p.m.
Created at: April 10, 2026, 1:15 a.m.