Triple

T5491952
Position Surface form Disambiguated ID Type / Status
Subject Asian Turkey E123721 entity
Predicate containsCity P294 FINISHED
Object Isparta E449439 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: Isparta | Statement: [Asian Turkey, containsCity, Isparta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isparta
Context triple: [Asian Turkey, containsCity, Isparta]
  • A. Isparta chosen
    Isparta is a city in southwestern Turkey known for its rose cultivation and production of rose oil and related products.
  • B. Manisa
    Manisa is a historic city in western Turkey known for its agricultural production, especially grapes and olives, and its proximity to the Aegean coast.
  • C. Isparta Province
    Isparta Province is an inland region of southwestern Turkey known for its rose cultivation, lakes, and agricultural production.
  • D. Gedera
    Gedera is a town in central Israel known for its agricultural roots and diverse immigrant communities.
  • E. Niksar
    Niksar is a town in modern-day Turkey, historically significant as the site of the ancient city of Neocaesarea in the region of Pontus.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9280403c8190baaa3f7923449a37 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c059bd73e481909e23e1796262b8c4 completed March 22, 2026, 9:06 p.m.
Created at: March 20, 2026, 2:10 p.m.