Triple

T15774670
Position Surface form Disambiguated ID Type / Status
Subject Litovel Brewery E382458 entity
Predicate hasBrand P1500 FINISHED
Object Litovel Černý Citron
Litovel Černý Citron is a flavored dark beer from the Czech Litovel Brewery that combines roasted malt character with a distinctive lemon taste.
 E81669 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: Litovel Černý Citron | Statement: [Litovel Brewery, hasBrand, Litovel Černý Citron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Litovel Černý Citron
Context triple: [Litovel Brewery, hasBrand, Litovel Černý Citron]
  • A. Litovel
    Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
  • B. Zla Kolata
    Zla Kolata is a prominent peak in the Prokletije mountain range on the Montenegro–Albania border, known as one of the highest and most challenging summits in the region.
  • C. Crna kutija
    Crna kutija is a notable literary work by Croatian writer and journalist Zora Dirnbach.
  • D. Limonest
    Limonest is a commune in eastern France, near Lyon, known for hosting the headquarters of several technology and e-commerce companies.
  • E. Caipiroska
    Caipiroska is a vodka-based cocktail similar to a caipirinha, typically made with muddled lime, sugar, and ice.
  • 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: Litovel Černý Citron
Triple: [Litovel Brewery, hasBrand, Litovel Černý Citron]
Generated description
Litovel Černý Citron is a flavored dark beer from the Czech Litovel Brewery that combines roasted malt character with a distinctive lemon taste.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Litovel Černý Citron
Target entity description: Litovel Černý Citron is a flavored dark beer from the Czech Litovel Brewery that combines roasted malt character with a distinctive lemon taste.
  • A. Litovel chosen
    Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
  • B. Zla Kolata
    Zla Kolata is a prominent peak in the Prokletije mountain range on the Montenegro–Albania border, known as one of the highest and most challenging summits in the region.
  • C. Crna kutija
    Crna kutija is a notable literary work by Croatian writer and journalist Zora Dirnbach.
  • D. Limonest
    Limonest is a commune in eastern France, near Lyon, known for hosting the headquarters of several technology and e-commerce companies.
  • E. Caipiroska
    Caipiroska is a vodka-based cocktail similar to a caipirinha, typically made with muddled lime, sugar, and ice.
  • F. None of above.

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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05198c1588190a65e23c18443eb5c completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff877e67b881908a67b9acc79d998f completed May 9, 2026, 7:14 p.m.
NEDg Description generation batch_69ff88358e408190a8d7424fc495d4fa completed May 9, 2026, 7:17 p.m.
NED2 Entity disambiguation (via description) batch_69ff88f192a08190acbc2c3fc98c65c8 completed May 9, 2026, 7:20 p.m.
Created at: April 10, 2026, 4:47 a.m.