Triple

T4049578
Position Surface form Disambiguated ID Type / Status
Subject Annecy E84150 entity
Predicate twinTown P1072 FINISHED
Object Liptovský Mikuláš E177149 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: Liptovský Mikuláš | Statement: [Annecy, twinTown, Liptovský Mikuláš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liptovský Mikuláš
Context triple: [Annecy, twinTown, Liptovský Mikuláš]
  • A. Liptovský Mikuláš chosen
    Liptovský Mikuláš is a town in northern Slovakia known as a gateway to the Low Tatras and a regional center of tourism, culture, and winter sports.
  • B. Dunajská Streda
    Dunajská Streda is a town in southern Slovakia known as a cultural and economic center of the Hungarian minority in the country.
  • C. Prešporok
    Prešporok is the historical Slovak name for the city now known as Bratislava, the capital of Slovakia.
  • D. Levoča
    Levoča is a historic town in eastern Slovakia renowned for its well-preserved medieval center and Gothic architecture, including the Church of St. James with its famous wooden altar by Master Paul.
  • E. Topoľčany
    Topoľčany is a town in western Slovakia known as the birthplace of several notable Slovak ice hockey players, including Miroslav Šatan.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb82d1a08190aa8c5c48d368b58b completed March 9, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b757a4c48190bf72c6852b00777f completed March 14, 2026, 7:30 p.m.
Created at: March 9, 2026, 3:37 p.m.