Triple

T612766
Position Surface form Disambiguated ID Type / Status
Subject Vojtech Tuka E12135 entity
Predicate placeOfBirth P1 FINISHED
Object Prešov
Prešov is a historic city in eastern Slovakia known for its preserved medieval center and role as a regional cultural and economic hub.
 E83895 NE FINISHED

How this triple was built (4 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: Prešov | Statement: [Vojtech Tuka, placeOfBirth, Prešov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prešov
Context triple: [Vojtech Tuka, placeOfBirth, Prešov]
  • A. 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.
  • 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. 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.
  • D. Bratislava
    Bratislava is the capital and largest city of Slovakia, situated along the Danube River near the borders with Austria and Hungary.
  • E. Zlín
    Zlín is a city in the Czech Republic known for its modernist architecture and historical association with the Baťa shoe company.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Prešov
Triple: [Vojtech Tuka, placeOfBirth, Prešov]
Generated description
Prešov is a historic city in eastern Slovakia known for its preserved medieval center and role as a regional cultural and economic hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prešov
Target entity description: Prešov is a historic city in eastern Slovakia known for its preserved medieval center and role as a regional cultural and economic hub.
  • A. 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.
  • 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. 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.
  • D. Bratislava
    Bratislava is the capital and largest city of Slovakia, situated along the Danube River near the borders with Austria and Hungary.
  • E. Zlín
    Zlín is a city in the Czech Republic known for its modernist architecture and historical association with the Baťa shoe company.
  • F. None of above. chosen

Provenance (5 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49e08dbf88190ab050078a63e266b completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dc8ff78c8190954d33f9e4556cca completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a5de26ff1081908a60b55a1deab804 completed March 2, 2026, 6:59 p.m.
NED2 Entity disambiguation (via description) batch_69a5ff1ac6f481909915fd5b2e648558 completed March 2, 2026, 9:20 p.m.
Created at: March 1, 2026, 7:35 p.m.