Triple

T3110367
Position Surface form Disambiguated ID Type / Status
Subject Gediz River E64934 entity
Predicate namedAfter P63 FINISHED
Object Gediz 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 | Statement: [Gediz River, namedAfter, Gediz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gediz
Context triple: [Gediz River, namedAfter, Gediz]
  • 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. Dumlupınar
    Dumlupınar is a town in western Turkey best known as the decisive battlefield where Turkish forces secured victory in the 1922 Great Offensive of the Turkish War of Independence.
  • 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. Sakarya
    Sakarya is a city in northwestern Turkey known for its strategic location near the Black Sea and its role as an important industrial and transportation hub.
  • E. Tarsus River
    The Tarsus River is a waterway in southern Turkey that flows through the historic city of Tarsus before reaching 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada437c5e08190af22f6fa11cf9252 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20394a8cc8190b114760079f8b0f6 completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:04 p.m.