Triple

T2842926
Position Surface form Disambiguated ID Type / Status
Subject Miletus E62511 entity
Predicate locatedNear P294 FINISHED
Object Menderes 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: Menderes River | Statement: [Miletus, locatedNear, Menderes River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Menderes River
Context triple: [Miletus, locatedNear, Menderes River]
  • A. Menderes
    Menderes is a district of İzmir Province in western Turkey, known for its proximity to İzmir Adnan Menderes Airport and its coastal and agricultural areas.
  • B. Tarsus River
    The Tarsus River is a waterway in southern Turkey that flows through the historic city of Tarsus before reaching the Mediterranean Sea.
  • C. Gediz River chosen
    The Gediz River is a major river in western Turkey that flows into the Aegean Sea near the city of Izmir.
  • D. Keles River
    The Keles River is a Central Asian watercourse that flows through Kazakhstan and Uzbekistan before joining the Syr Darya.
  • E. Kilmez River
    The Kilmez River is a waterway in Russia that serves as a tributary within the Kama River basin.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf1898748190b031a2bd2091c0c0 completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03133de8c8190942c727b89c81b28 completed March 10, 2026, 2:56 p.m.
Created at: March 6, 2026, 10:01 p.m.