Triple

T11831402
Position Surface form Disambiguated ID Type / Status
Subject Trnava Region E281400 entity
Predicate hasCity P316 FINISHED
Object Piešťany E478805 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: Piešťany | Statement: [Trnava Region, hasCity, Piešťany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piešťany
Context triple: [Trnava Region, hasCity, Piešťany]
  • A. Piešťany chosen
    Piešťany is a Slovak spa town renowned for its thermal springs and health resorts, located on the Váh River.
  • B. 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.
  • C. Banská Belá
    Banská Belá is a historic village in central Slovakia known for its long-standing association with the region’s mining industry.
  • D. 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.
  • E. Prešporok
    Prešporok is the historical Slovak name for the city now known as Bratislava, the capital of Slovakia.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62c95988190a45dbaa7001c8846 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d2da6b48190bdd974fa9520bc87 completed May 3, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:43 p.m.