Triple

T12879526
Position Surface form Disambiguated ID Type / Status
Subject Magnesia on the Maeander E308053 entity
Predicate locatedNear P294 FINISHED
Object Menderes River E542448 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: [Magnesia on the Maeander, locatedNear, Menderes River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Menderes River
Context triple: [Magnesia on the Maeander, locatedNear, Menderes River]
  • A. Küçükmenderes River chosen
    The Küçükmenderes River is a river in western Turkey that flows through the historical region of Ionia near the ancient city of Ephesus.
  • B. Sezar River
    The Sezar River is a significant watercourse in western Iran that flows through the mountainous landscapes of Lorestan Province and contributes to the region’s river network and agriculture.
  • C. 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.
  • D. Leysse River
    The Leysse River is a watercourse in the Savoie region of southeastern France that flows through Chambéry before emptying into Lake Bourget.
  • E. Seyhan River
    The Seyhan River is a major river in southern Turkey that flows through the city of Adana before emptying into the Mediterranean Sea.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fc1e488190a0c48039f6213e62 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8ccee708190bb4caa604386e3a3 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:39 p.m.