Triple

T13606366
Position Surface form Disambiguated ID Type / Status
Subject Amaseia E325073 entity
Predicate locatedOn P40 FINISHED
Object Yeşilırmak River E602325 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: Yeşilırmak River | Statement: [Amaseia, locatedOn, Yeşilırmak River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yeşilırmak River
Context triple: [Amaseia, locatedOn, Yeşilırmak River]
  • A. Yeşilırmak River chosen
    The Yeşilırmak River is a major river in northern Turkey that flows through several provinces before emptying into the Black Sea.
  • B. Gökırmak River
    The Gökırmak River is a significant river in northern Turkey that flows through the Black Sea region before joining the Kızılırmak River.
  • C. 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.
  • D. Kızılırmak River
    The Kızılırmak River is the longest river entirely within Turkey, flowing in a great arc through central Anatolia before emptying into the Black Sea.
  • E. Ankara River
    The Ankara River is a central Anatolian river in Turkey that flows through the capital city of Ankara before joining the larger Sakarya River.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07e442c819086a8cbb967c03ad3 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d3f80c081908710b46a42fb13a3 completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:50 p.m.