Triple

T15307453
Position Surface form Disambiguated ID Type / Status
Subject Singen E365939 entity
Predicate hasTwinTown P919 FINISHED
Object Koprivnica E365635 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: Koprivnica | Statement: [Singen, hasTwinTown, Koprivnica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koprivnica
Context triple: [Singen, hasTwinTown, Koprivnica]
  • A. Koprivnica chosen
    Koprivnica is a city in northern Croatia known as a regional center of the Podravina area, with historical roots dating back to medieval times and a strong tradition in industry and culture.
  • B. Đakovo
    Đakovo is a historic town in eastern Croatia renowned for its cathedral, cultural heritage, and role as a regional center in Slavonia.
  • C. Jastrebarsko
    Jastrebarsko is a small historic town in central Croatia known for its wine-growing region and cultural heritage.
  • D. Omišalj
    Omišalj is a historic coastal town and tourist destination on the northern part of the Croatian island of Krk, overlooking the Kvarner Gulf.
  • E. Sisak
    Sisak is a historic Croatian city located at the confluence of the Kupa, Sava, and Odra rivers, known as an important industrial and transport hub.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd001b48190bbdd69337efdb907 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef89feda88190b18f6a03d6e968aa completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.