Triple

T17404127
Position Surface form Disambiguated ID Type / Status
Subject Panevėžys County E423168 entity
Predicate borderedBy P224 FINISHED
Object Šiauliai County NE NERFINISHED

How this triple was built (2 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: Šiauliai County | Statement: [Panevėžys County, borderedBy, Šiauliai County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Šiauliai County
Context triple: [Panevėžys County, borderedBy, Šiauliai County]
  • A. Šiauliai County chosen
    Šiauliai County is one of the administrative counties of northern Lithuania, centered on the city of Šiauliai and known for its industrial base and cultural heritage.
  • B. Panevėžys County
    Panevėžys County is an administrative region in northern Lithuania centered on the city of Panevėžys and known for its mixed urban and agricultural landscape.
  • C. Telšiai County
    Telšiai County is a modern administrative region in northwestern Lithuania that serves as a cultural and historical center of the Samogitian ethnic group.
  • D. Marijampolė County
    Marijampolė County is an administrative region in southern Lithuania known for its agricultural landscape and the city of Marijampolė as its capital.
  • E. Kaunas County
    Kaunas County is an administrative region in central Lithuania that encompasses the country’s second-largest city, Kaunas, and serves as an important economic and cultural hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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.