Triple

T14500009
Position Surface form Disambiguated ID Type / Status
Subject Karabük E359608 entity
Predicate locatedOn P40 FINISHED
Object Karabük River E1046894 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: Karabük River | Statement: [Karabük, locatedOn, Karabük River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karabük River
Context triple: [Karabük, locatedOn, Karabük River]
  • A. Keles River
    The Keles River is a Central Asian watercourse that flows through Kazakhstan and Uzbekistan before joining the Syr Darya.
  • B. Kilmez River
    The Kilmez River is a waterway in Russia that serves as a tributary within the Kama River basin.
  • C. Göksu River
    The Göksu River is a significant waterway in southern Turkey that flows from the Taurus Mountains to the Mediterranean Sea, known for its rich biodiversity and fertile surrounding plains.
  • D. Gökırmak River chosen
    The Gökırmak River is a significant river in northern Turkey that flows through the Black Sea region before joining the Kızılırmak River.
  • E. 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.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de94dfe484819086dd971606e6478e completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d99a7948190a3ff01e7b74aaa1e completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.