Triple

T8186002
Position Surface form Disambiguated ID Type / Status
Subject South Bohemian Region E191184 entity
Predicate containsTown P847 FINISHED
Object Strakonice
Strakonice is a historic town in the Czech Republic known for its medieval castle and traditional bagpipe festival.
E790108 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: Strakonice | Statement: [South Bohemian Region, containsTown, Strakonice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strakonice
Context triple: [South Bohemian Region, containsTown, Strakonice]
  • A. Svitavy
    Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
  • B. Uherské Hradiště
    Uherské Hradiště is a historic town in the Zlín Region of the Czech Republic, known as a cultural center of the Moravian Slovakia ethnographic area.
  • C. Říčany
    Říčany is a town in the Czech Republic, located just southeast of Prague and known as a popular residential and commuter suburb with historical roots.
  • D. Rokycany
    Rokycany is a town in the western Czech Republic that serves as an administrative and economic center within the Plzeň Region.
  • E. Humpolec
    Humpolec is a town in the Czech Republic known for its location in the Bohemian-Moravian Highlands and its historical textile and brewing industries.
  • 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: Strakonice
Triple: [South Bohemian Region, containsTown, Strakonice]
Generated description
Strakonice is a historic town in the Czech Republic known for its medieval castle and traditional bagpipe festival.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Strakonice
Target entity description: Strakonice is a historic town in the Czech Republic known for its medieval castle and traditional bagpipe festival.
  • A. Svitavy
    Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
  • B. Uherské Hradiště
    Uherské Hradiště is a historic town in the Zlín Region of the Czech Republic, known as a cultural center of the Moravian Slovakia ethnographic area.
  • C. Říčany
    Říčany is a town in the Czech Republic, located just southeast of Prague and known as a popular residential and commuter suburb with historical roots.
  • D. Rokycany
    Rokycany is a town in the western Czech Republic that serves as an administrative and economic center within the Plzeň Region.
  • E. Humpolec
    Humpolec is a town in the Czech Republic known for its location in the Bohemian-Moravian Highlands and its historical textile and brewing industries.
  • 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c52407c8190bd366fce6d4e02cd completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b12e42e48190b62b772d150117f2 completed April 4, 2026, 6:35 a.m.
NEDg Description generation batch_69d0b2b9fbf4819083e594d676323c65 completed April 4, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69d0b343a040819098620e2e3c451b39 completed April 4, 2026, 6:44 a.m.
Created at: March 30, 2026, 5:41 p.m.