Triple

T4091883
Position Surface form Disambiguated ID Type / Status
Subject Kaunas County E87721 entity
Predicate secondLargestCityInCountry P2968 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: [Kaunas County, secondLargestCityInCountry, Kaunas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaunas
Context triple: [Kaunas County, secondLargestCityInCountry, 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. Kaunas District Municipality
    Kaunas District Municipality is an administrative region in central Lithuania that surrounds the city of Kaunas and includes numerous suburban and rural communities.
  • 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: secondLargestCityInCountry
Context triple: [Kaunas County, secondLargestCityInCountry, Kaunas]
  • A. secondLargestMetropolitanArea
    Indicates that one entity is the second largest metropolitan area (by population or size, as context defines) within the scope defined by the other entity.
  • B. isSecondMostPopulousCityIn chosen
    Indicates that a city is the second most populous city within a specified larger region or country.
  • C. hasSecondaryCity
    Indicates that an entity possesses or is associated with a secondary city in addition to its primary city.
  • D. largerCityInCountry
    Indicates that one city is larger than another city within the same country.
  • E. isThirdLargestCityIn
    Indicates that a city is the third largest (typically by population or area) within a specified region or country.
  • 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefcae22a081908af65a960306b78c completed March 9, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69b627b362508190905af163e9dbc1b4 completed March 15, 2026, 3:29 a.m.
PD Predicate disambiguation batch_69aef909c9c88190b09d48dad325a83c completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:40 p.m.