Triple

T13851260
Position Surface form Disambiguated ID Type / Status
Subject Manisa E332946 entity
Predicate hasRiver P165 FINISHED
Object Gediz River E64934 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: Gediz River | Statement: [Manisa, hasRiver, Gediz River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gediz River
Context triple: [Manisa, hasRiver, Gediz River]
  • A. Gediz River chosen
    The Gediz River is a major river in western Turkey that flows into the Aegean Sea near the city of Izmir.
  • B. Ceyhan River
    The Ceyhan River is a major river in southern Turkey that flows through the Mediterranean region and supports agriculture and settlements, including the city of Adana.
  • C. Murat River
    The Murat River is a major tributary of the Euphrates in eastern Turkey, flowing through mountainous regions including the area around Muş.
  • D. Tarsus River
    The Tarsus River is a waterway in southern Turkey that flows through the historic city of Tarsus before reaching the Mediterranean Sea.
  • E. Güneyçay
    Güneyçay is a smaller river or stream in the Caucasus region that serves as a tributary feeding into the Samur 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02d8fb788190baef7537be2baecb completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbac802b7081909b36eebe85374594 completed May 6, 2026, 9:02 p.m.
Created at: April 9, 2026, 10:14 p.m.