Triple

T12621923
Position Surface form Disambiguated ID Type / Status
Subject Kovno E301401 entity
Predicate hasHistoricalNameOf P66486 FINISHED
Object Kaunas E14945 NE FINISHED

How this triple was built (3 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: Kaunas | Statement: [Kovno, hasHistoricalNameOf, Kaunas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaunas
Context triple: [Kovno, hasHistoricalNameOf, Kaunas]
  • A. Kaunas chosen
    Kaunas is the second-largest city in Lithuania, known as a historic cultural and academic center located at the confluence of the Nemunas and Neris rivers.
  • B. Klaipėda
    Klaipėda is a Lithuanian port city on the Baltic Sea known as the country’s main maritime gateway and a key regional transport and industrial hub.
  • C. Vilnius
    Vilnius is the capital and largest city of Lithuania, known for its well-preserved medieval Old Town and rich cultural and historical heritage.
  • D. Panevėžys
    Panevėžys is a major city in northern Lithuania known as an important regional industrial and cultural center.
  • E. Zarasai
    Zarasai is a small town in northeastern Lithuania known for its lakes and scenic natural surroundings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricalNameOf
Context triple: [Kovno, hasHistoricalNameOf, Kaunas]
  • A. hasHistoricNameVariant chosen
    Indicates that an entity has an alternative name that was used in a historical period or past context.
  • B. historicalNameType
    Indicates that the relationship specifies the type or category of a historical name associated with an entity.
  • C. hasHistoricNickname
    Indicates that an entity is known by a nickname that has historical significance or longstanding traditional use.
  • D. regionHistoricalName
    Indicates that a region has been known by a particular historical name during some past period.
  • E. hasHistoricalOrigin
    Indicates that something originated, was first established, or came into existence during a specific historical period or context.
  • F. None of above.

Provenance (4 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617b07ec8190b714f04ae6654060 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6686d770881909850ffaf820171d9 completed May 2, 2026, 9:11 p.m.
PD Predicate disambiguation batch_69d960b195108190ac25bd95e644ace4 completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:14 p.m.