Triple

T653578
Position Surface form Disambiguated ID Type / Status
Subject Spisz E11396 entity
Predicate hasMajorTown P316 FINISHED
Object 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.
 E100688 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: Spišská Nová Ves | Statement: [Spisz, hasMajorTown, Spišská Nová Ves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Spišská Nová Ves
Context triple: [Spisz, hasMajorTown, Spišská Nová Ves]
  • A. Zlín
    Zlín is a city in the Czech Republic known for its modernist architecture and historical association with the Baťa shoe company.
  • 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. Ružomberok
    Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
  • D. Plzeň
    Plzeň is a major city in western Bohemia in the Czech Republic, known for its brewing tradition and industrial heritage.
  • E. Prešov
    Prešov is a historic city in eastern Slovakia known for its preserved medieval center and role as a regional cultural and economic hub.
  • 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: Spišská Nová Ves
Triple: [Spisz, hasMajorTown, Spišská Nová Ves]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Spišská Nová Ves
Target entity description: 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.
  • A. Zlín
    Zlín is a city in the Czech Republic known for its modernist architecture and historical association with the Baťa shoe company.
  • 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. Ružomberok
    Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
  • D. Plzeň
    Plzeň is a major city in western Bohemia in the Czech Republic, known for its brewing tradition and industrial heritage.
  • E. Prešov
    Prešov is a historic city in eastern Slovakia known for its preserved medieval center and role as a regional cultural and economic hub.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4a660c8190b887cb4da01ef7ae completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7927c75448190aafcaa955519833c completed March 4, 2026, 2:01 a.m.
NEDg Description generation batch_69a7965d1ce08190a1b6b30ffa23f974 completed March 4, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69a796b5cf708190ac3d11f80a3af7ce completed March 4, 2026, 2:19 a.m.
Created at: March 1, 2026, 7:36 p.m.