Triple

T17846639
Position Surface form Disambiguated ID Type / Status
Subject Kfar Saba E445678 entity
Predicate hasSisterCity P919 FINISHED
Object Dunajská Streda NE NERFINISHED

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: Dunajská Streda | Statement: [Kfar Saba, hasSisterCity, Dunajská Streda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dunajská Streda
Context triple: [Kfar Saba, hasSisterCity, Dunajská Streda]
  • A. Dunajská Streda chosen
    Dunajská Streda is a town in southern Slovakia known as a cultural and economic center of the Hungarian minority in the country.
  • B. Považská Bystrica
    Považská Bystrica is a town in northwestern Slovakia known as an industrial center situated in a valley surrounded by the Strážov Mountains.
  • C. Liptovský Hrádok
    Liptovský Hrádok is a small Slovak town in the Liptov region, known for its historic castle complex and location near the Tatra Mountains.
  • D. Banská Belá
    Banská Belá is a historic village in central Slovakia known for its long-standing association with the region’s mining industry.
  • E. Banská Štiavnica
    Banská Štiavnica is a historic Slovak mining town and UNESCO World Heritage Site known for its well-preserved medieval and Renaissance architecture and rich mining heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ffb35248190a80a428686e06d87 completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.