Triple

T17404107
Position Surface form Disambiguated ID Type / Status
Subject Panevėžys County E423168 entity
Predicate containsMunicipality P852 FINISHED
Object Panevėžys district municipality NE NERFINISHED

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: Panevėžys district municipality | Statement: [Panevėžys County, containsMunicipality, Panevėžys district municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panevėžys district municipality
Context triple: [Panevėžys County, containsMunicipality, Panevėžys district municipality]
  • A. Panevėžys city municipality
    Panevėžys city municipality is a local government area in northern Lithuania that administers the city of Panevėžys, one of the country’s major urban and economic centers.
  • B. Švenčionys District Municipality
    Švenčionys District Municipality is an administrative region in eastern Lithuania that encompasses the town of Švenčionys and its surrounding rural areas.
  • C. Radviliškis District Municipality
    Radviliškis District Municipality is an administrative region in northern Lithuania known for its agricultural landscape and the town of Radviliškis as its administrative center.
  • D. Vilkaviškis District Municipality
    Vilkaviškis District Municipality is an administrative region in southwestern Lithuania centered around the town of Vilkaviškis, known for its agricultural landscape and proximity to the border with Poland.
  • E. Tauragė District Municipality
    Tauragė District Municipality is an administrative region in western Lithuania centered around the town of Tauragė, known for its role as a local economic and cultural hub near the border with Kaliningrad Oblast.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Panevėžys district municipality
Target entity description: Panevėžys district municipality is an administrative region in northern Lithuania surrounding the city of Panevėžys, known for its rural communities, agriculture, and local cultural heritage.
  • A. Panevėžys city municipality
    Panevėžys city municipality is a local government area in northern Lithuania that administers the city of Panevėžys, one of the country’s major urban and economic centers.
  • B. Švenčionys District Municipality
    Švenčionys District Municipality is an administrative region in eastern Lithuania that encompasses the town of Švenčionys and its surrounding rural areas.
  • C. Radviliškis District Municipality
    Radviliškis District Municipality is an administrative region in northern Lithuania known for its agricultural landscape and the town of Radviliškis as its administrative center.
  • D. Vilkaviškis District Municipality
    Vilkaviškis District Municipality is an administrative region in southwestern Lithuania centered around the town of Vilkaviškis, known for its agricultural landscape and proximity to the border with Poland.
  • E. Tauragė District Municipality
    Tauragė District Municipality is an administrative region in western Lithuania centered around the town of Tauragė, known for its role as a local economic and cultural hub near the border with Kaliningrad Oblast.
  • F. None of above. chosen

Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b068248819088871d79f8a38f30 completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:45 a.m.