Triple

T16089863
Position Surface form Disambiguated ID Type / Status
Subject Letňany E390332 entity
Predicate locatedNear P294 FINISHED
Object Prosek
Prosek is a residential district in the northeastern part of Prague, Czech Republic, known for its panel housing estates and proximity to the Letňany area.
E1192883 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: Prosek | Statement: [Letňany, locatedNear, Prosek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prosek
Context triple: [Letňany, locatedNear, Prosek]
  • A. Pojuca
    Pojuca is a municipality in the Brazilian state of Bahia that forms part of the greater Salvador metropolitan area.
  • B. Pordic
    Pordic is a commune in the Côtes-d'Armor department of Brittany in northwestern France, known for its coastal location along the English Channel.
  • C. Prosotsani
    Prosotsani is a town and municipality in northern Greece, situated in the Drama regional unit of Eastern Macedonia and Thrace.
  • D. Plesac
    Plesac is a surname most notably associated with former Major League Baseball pitcher and current broadcaster Dan Plesac.
  • E. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • 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: Prosek
Triple: [Letňany, locatedNear, Prosek]
Generated description
Prosek is a residential district in the northeastern part of Prague, Czech Republic, known for its panel housing estates and proximity to the Letňany area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Prosek
Target entity description: Prosek is a residential district in the northeastern part of Prague, Czech Republic, known for its panel housing estates and proximity to the Letňany area.
  • A. Pojuca
    Pojuca is a municipality in the Brazilian state of Bahia that forms part of the greater Salvador metropolitan area.
  • B. Pordic
    Pordic is a commune in the Côtes-d'Armor department of Brittany in northwestern France, known for its coastal location along the English Channel.
  • C. Prosotsani
    Prosotsani is a town and municipality in northern Greece, situated in the Drama regional unit of Eastern Macedonia and Thrace.
  • D. Plesac
    Plesac is a surname most notably associated with former Major League Baseball pitcher and current broadcaster Dan Plesac.
  • E. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e184522b2c8190986daae6cb2d9db4 completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe490d494819081f812811f032702 completed May 10, 2026, 1:51 a.m.
NEDg Description generation batch_69ffe63f757c81908c7dc3c5ae3075c6 completed May 10, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69ffe6b3f25481908dd4b6108b5d95c0 completed May 10, 2026, 2 a.m.
Created at: April 10, 2026, 4:59 a.m.