Triple

T1121008
Position Surface form Disambiguated ID Type / Status
Subject Marián Hossa E24610 entity
Predicate placeOfBirth P1 FINISHED
Object Stará Ľubovňa E81403 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: Stará Ľubovňa | Statement: [Marián Hossa, placeOfBirth, Stará Ľubovňa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stará Ľubovňa
Context triple: [Marián Hossa, placeOfBirth, Stará Ľubovňa]
  • A. Stará Ľubovňa chosen
    Stará Ľubovňa is a historic town in northern Slovakia known for its medieval castle and open-air museum showcasing traditional folk architecture.
  • B. Ružomberok
    Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
  • C. Spišská Nová Ves
    Spišská Nová Ves is a town in eastern Slovakia known as a cultural and economic center of the Spiš region and as a gateway to the Slovak Paradise National Park.
  • D. Topoľčany
    Topoľčany is a town in western Slovakia known as the birthplace of several notable Slovak ice hockey players, including Miroslav Šatan.
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbbe58588190a5ef6346e269d5f3 completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59a62b9c8190938b3c571cd8ff5f completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:43 p.m.