Triple

T4058169
Position Surface form Disambiguated ID Type / Status
Subject Spiš Castle E84743 entity
Predicate nearbyCity P350 FINISHED
Object Poprad E404653 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: Poprad | Statement: [Spiš Castle, nearbyCity, Poprad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poprad
Context triple: [Spiš Castle, nearbyCity, Poprad]
  • A. Poprad chosen
    Poprad is a city in northern Slovakia known as a gateway to the High Tatras mountains and an important regional tourism and transport hub.
  • B. 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.
  • C. Banská Bystrica
    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.
  • D. 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.
  • E. Dunajská Streda
    Dunajská Streda is a town in southern Slovakia known as a cultural and economic center of the Hungarian minority in the country.
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbaefcb081908aab3963dcd61a20 completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69badb16faf88190aa047ba701ff7c0d completed March 18, 2026, 5:04 p.m.
Created at: March 9, 2026, 3:38 p.m.