Triple

T3110368
Position Surface form Disambiguated ID Type / Status
Subject Gediz River E64934 entity
Predicate passesNear P416 FINISHED
Object Manisa E332946 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: Manisa | Statement: [Gediz River, passesNear, Manisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manisa
Context triple: [Gediz River, passesNear, Manisa]
  • A. Manisa chosen
    Manisa is a historic city in western Turkey known for its agricultural production, especially grapes and olives, and its proximity to the Aegean coast.
  • B. Bergama
    Bergama is a town in western Turkey known for encompassing the archaeological remains of the ancient city of Pergamon, a major Hellenistic and Roman cultural and political center.
  • C. Uşak
    Uşak is a city in western Turkey known for its role in the Turkish War of Independence and its traditional carpet and textile production.
  • D. Eskişehir
    Eskişehir is a major university and industrial city in northwestern Turkey, known for its vibrant student life, modern urban design, and rich cultural heritage.
  • E. Medinaceli
    Medinaceli is a historic town in the province of Soria, Spain, known for its well-preserved medieval architecture and Roman heritage.
  • 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_69b2f3b27a088190b20b3f4404c02c32 completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:04 p.m.