Triple

T2663707
Position Surface form Disambiguated ID Type / Status
Subject Plzeň Region E54782 entity
Predicate hasMunicipalityWithExtendedPowers P41272 FINISHED
Object Holýšov
Holýšov is a town in the Czech Republic known for its industrial history and location in the western Plzeň Region.
E304852 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: Holýšov | Statement: [Plzeň Region, hasMunicipalityWithExtendedPowers, Holýšov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holýšov
Context triple: [Plzeň Region, hasMunicipalityWithExtendedPowers, Holýšov]
  • A. Hořovice
    Hořovice is a small Czech town known for its historic chateau and location in the western part of the Central Bohemian Region.
  • B. Hořice
    Hořice is a small Czech town known for its sandstone sculptures and traditional Hořice rolled wafers, located in the Hradec Králové Region.
  • C. Trebišov
    Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
  • D. Sedlčany
    Sedlčany is a small historic town in the Czech Republic known for its traditional cheese production and location on the Mastník River.
  • E. Ružomberok
    Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
  • 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: Holýšov
Triple: [Plzeň Region, hasMunicipalityWithExtendedPowers, Holýšov]
Generated description
Holýšov is a town in the Czech Republic known for its industrial history and location in the western Plzeň Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Holýšov
Target entity description: Holýšov is a town in the Czech Republic known for its industrial history and location in the western Plzeň Region.
  • A. Hořovice
    Hořovice is a small Czech town known for its historic chateau and location in the western part of the Central Bohemian Region.
  • B. Hořice
    Hořice is a small Czech town known for its sandstone sculptures and traditional Hořice rolled wafers, located in the Hradec Králové Region.
  • C. Trebišov
    Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
  • D. Sedlčany
    Sedlčany is a small historic town in the Czech Republic known for its traditional cheese production and location on the Mastník River.
  • E. Ružomberok
    Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abdd1e80dc819083e04e1427d187d0 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d3d6a54819090068ef1807ca921 completed March 10, 2026, 1:31 p.m.
NEDg Description generation batch_69b01f73ff708190924f6e12d5688cc7 completed March 10, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_69b020fe69b881909b576a5321126a7c completed March 10, 2026, 1:47 p.m.
Created at: March 6, 2026, 9:54 p.m.