Triple

T2484726
Position Surface form Disambiguated ID Type / Status
Subject Ján Golian E55897 entity
Predicate regionOfActivity P82 FINISHED
Object Banská Bystrica E57343 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: Banská Bystrica | Statement: [Ján Golian, regionOfActivity, Banská Bystrica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banská Bystrica
Context triple: [Ján Golian, regionOfActivity, Banská Bystrica]
  • A. Banská Bystrica chosen
    Banská Bystrica is a historic central Slovak city best known as the main center of the anti-Nazi Slovak National Uprising during World War II.
  • B. Košice
    Košice is a major city in eastern Slovakia known for its historic Old Town, Gothic St. Elisabeth Cathedral, and role as an important cultural and economic center.
  • C. Kežmarok
    Kežmarok is a historic town in northern Slovakia known for its well-preserved medieval architecture and role as a cultural center of the Spiš (Spisz) region.
  • D. Prešov
    Prešov is a historic city in eastern Slovakia known for its preserved medieval center and role as a regional cultural and economic hub.
  • E. Trenčín
    Trenčín is a historic city in western Slovakia known for its medieval castle overlooking the Váh River and its role as a regional cultural and economic center.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd175f5ac8190870db9c6cb8e45bd completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af654726988190a7166434ecf0582c completed March 10, 2026, 12:26 a.m.
Created at: March 6, 2026, 9:45 p.m.