Triple

T18307730
Position Surface form Disambiguated ID Type / Status
Subject Muş Province E438531 entity
Predicate hasRiver P165 FINISHED
Object Murat 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: Murat River | Statement: [Muş Province, hasRiver, Murat River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murat River
Context triple: [Muş Province, hasRiver, Murat River]
  • A. Murat River chosen
    The Murat River is a major tributary of the Euphrates in eastern Turkey, flowing through mountainous regions including the area around Muş.
  • B. Ergun River
    The Ergun River is a major river in Northeast Asia that forms part of the border between China and Russia and is one of the headwaters of the Amur River.
  • C. Gökırmak River
    The Gökırmak River is a significant river in northern Turkey that flows through the Black Sea region before joining the Kızılırmak River.
  • D. Tunca River
    The Tunca River is a tributary of the Maritsa (Meriç) River in the Balkans, flowing through Bulgaria and Turkey and passing by the historic city of Edirne.
  • E. Gediz River
    The Gediz River is a major river in western Turkey that flows into the Aegean Sea near the city of Izmir.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50215e0c48190a4679d432b6ee596 completed April 19, 2026, 4:25 p.m.
Created at: April 10, 2026, 10:35 a.m.