Triple

T10701514
Position Surface form Disambiguated ID Type / Status
Subject Teplice nad Metují E252287 entity
Predicate hasPart P35 FINISHED
Object Bohdašín
Bohdašín is a small village in the Hradec Králové Region of the Czech Republic, administratively belonging to the town of Teplice nad Metují.
 E881530 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: Bohdašín | Statement: [Teplice nad Metují, hasPart, Bohdašín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bohdašín
Context triple: [Teplice nad Metují, hasPart, Bohdašín]
  • A. Moravice
    Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
  • B. Boskovice
    Boskovice is a historic town in the South Moravian Region of the Czech Republic, known for its preserved Jewish quarter, castle ruins, and cultural heritage.
  • C. Bozova
    Bozova is a town and district in Şanlıurfa Province in southeastern Turkey, situated near the massive Atatürk Dam on the Euphrates River.
  • D. Hodonín
    Hodonín is a town in the South Moravian Region of the Czech Republic, notable as the birthplace of the first Czechoslovak president Tomáš Garrigue Masaryk.
  • E. Beloslav
    Beloslav is a small industrial town in northeastern Bulgaria known for its glass production and proximity to the city of Varna.
  • 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: Bohdašín
Triple: [Teplice nad Metují, hasPart, Bohdašín]
Generated description
Bohdašín is a small village in the Hradec Králové Region of the Czech Republic, administratively belonging to the town of Teplice nad Metují.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bohdašín
Target entity description: Bohdašín is a small village in the Hradec Králové Region of the Czech Republic, administratively belonging to the town of Teplice nad Metují.
  • A. Moravice
    Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
  • B. Boskovice
    Boskovice is a historic town in the South Moravian Region of the Czech Republic, known for its preserved Jewish quarter, castle ruins, and cultural heritage.
  • C. Bozova
    Bozova is a town and district in Şanlıurfa Province in southeastern Turkey, situated near the massive Atatürk Dam on the Euphrates River.
  • D. Hodonín
    Hodonín is a town in the South Moravian Region of the Czech Republic, notable as the birthplace of the first Czechoslovak president Tomáš Garrigue Masaryk.
  • E. Beloslav
    Beloslav is a small industrial town in northeastern Bulgaria known for its glass production and proximity to the city of Varna.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd8c835c8190bf1a67ee94195926 completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbad110d9481908c3c0873424ec616 completed April 12, 2026, 2:32 p.m.
NEDg Description generation batch_69dbaeb211088190a9118c71918584e5 completed April 12, 2026, 2:39 p.m.
NED2 Entity disambiguation (via description) batch_69dbaf7c999c819097a8cdf5bd82f648 completed April 12, 2026, 2:43 p.m.
Created at: April 8, 2026, 9:12 p.m.