Triple

T18644932
Position Surface form Disambiguated ID Type / Status
Subject Carlsberg Group E455779 entity
Predicate brand P1500 FINISHED
Object Baltika
Baltika is a major Russian beer brand known for its wide range of lagers and ales and its significant presence in Eastern European and CIS markets.
 E1335217 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: Baltika | Statement: [Carlsberg Group, brand, Baltika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baltika
Context triple: [Carlsberg Group, brand, Baltika]
  • A. Baltiyskaya
    Baltiyskaya is a planned Moscow Metro station on the Bolshaya Koltsevaya line intended to serve the northwestern part of the city.
  • B. Belomorsk
    Belomorsk is a small town in Russia’s Republic of Karelia on the White Sea coast, historically known as a northern port and administrative center linked to the White Sea–Baltic waterway.
  • C. Baltica
    Baltica is an ancient Precambrian continental craton that now underlies much of northern and eastern Europe, including parts of Scandinavia and western Russia.
  • D. Labská
    Labská is a mountain village and ski resort area that forms one of the local parts of the Czech town Špindlerův Mlýn in the Krkonoše (Giant) Mountains.
  • E. Nieuwe Meer
    Nieuwe Meer is a lake in the Netherlands, situated on the western edge of Amsterdam and used for recreation and water management.
  • 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: Baltika
Triple: [Carlsberg Group, brand, Baltika]
Generated description
Baltika is a major Russian beer brand known for its wide range of lagers and ales and its significant presence in Eastern European and CIS markets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baltika
Target entity description: Baltika is a major Russian beer brand known for its wide range of lagers and ales and its significant presence in Eastern European and CIS markets.
  • A. Baltiyskaya
    Baltiyskaya is a planned Moscow Metro station on the Bolshaya Koltsevaya line intended to serve the northwestern part of the city.
  • B. Belomorsk
    Belomorsk is a small town in Russia’s Republic of Karelia on the White Sea coast, historically known as a northern port and administrative center linked to the White Sea–Baltic waterway.
  • C. Baltica
    Baltica is an ancient Precambrian continental craton that now underlies much of northern and eastern Europe, including parts of Scandinavia and western Russia.
  • D. Labská
    Labská is a mountain village and ski resort area that forms one of the local parts of the Czech town Špindlerův Mlýn in the Krkonoše (Giant) Mountains.
  • E. Nieuwe Meer
    Nieuwe Meer is a lake in the Netherlands, situated on the western edge of Amsterdam and used for recreation and water management.
  • 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5500c36188190bfdd7aca73f3c006 completed April 19, 2026, 9:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050d865fc48190a11ed96ebfdca50d completed May 13, 2026, 11:47 p.m.
NEDg Description generation batch_6a051058f5788190b782a39feb7f6111 completed May 13, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_6a0510fc0d1081908970c91357bb3444 completed May 14, 2026, 12:02 a.m.
Created at: April 10, 2026, 11:47 a.m.