Triple

T12216590
Position Surface form Disambiguated ID Type / Status
Subject Plzeň-South District E291101 entity
Predicate containsSettlement P847 FINISHED
Object Vrčeň
Vrčeň is a small village and municipality in the Plzeň Region of the Czech Republic.
E970540 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: Vrčeň | Statement: [Plzeň-South District, containsSettlement, Vrčeň]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vrčeň
Context triple: [Plzeň-South District, containsSettlement, Vrčeň]
  • A. Vrhnika
    Vrhnika is a historic town and municipality in central Slovenia, known as a former important trading post and the birthplace of the writer Ivan Cankar.
  • B. Brežice
    Brežice is a historic town in eastern Slovenia known for its medieval castle, wine-growing region, and location near the confluence of the Sava and Krka rivers.
  • C. Trebnje
    Trebnje is a small town in southeastern Slovenia known as a local cultural and administrative center in the historical region of Lower Carniola.
  • D. Vrlika
    Vrlika is a small historic town in inland Dalmatia, Croatia, known for its scenic setting near Lake Peruća and the Dinara mountain range.
  • E. Kamnik
    Kamnik is a historic town in northern Slovenia known for its medieval architecture, nearby Kamnik–Savinja Alps, and role as a regional cultural and tourist center.
  • 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: Vrčeň
Triple: [Plzeň-South District, containsSettlement, Vrčeň]
Generated description
Vrčeň is a small village and municipality in the Plzeň Region of the Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vrčeň
Target entity description: Vrčeň is a small village and municipality in the Plzeň Region of the Czech Republic.
  • A. Vrhnika
    Vrhnika is a historic town and municipality in central Slovenia, known as a former important trading post and the birthplace of the writer Ivan Cankar.
  • B. Brežice
    Brežice is a historic town in eastern Slovenia known for its medieval castle, wine-growing region, and location near the confluence of the Sava and Krka rivers.
  • C. Trebnje
    Trebnje is a small town in southeastern Slovenia known as a local cultural and administrative center in the historical region of Lower Carniola.
  • D. Vrlika
    Vrlika is a small historic town in inland Dalmatia, Croatia, known for its scenic setting near Lake Peruća and the Dinara mountain range.
  • E. Kamnik
    Kamnik is a historic town in northern Slovenia known for its medieval architecture, nearby Kamnik–Savinja Alps, and role as a regional cultural and tourist center.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c9419d48190b0037fe8edc681c4 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa31f548190bd4f8cfe3c55614b completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60dbe4f788190a3b4be4b31cfbffa completed May 2, 2026, 2:44 p.m.
NED2 Entity disambiguation (via description) batch_69f60ee037bc8190be486e30e03031a7 completed May 2, 2026, 2:49 p.m.
Created at: April 8, 2026, 9:51 p.m.