Triple

T16574670
Position Surface form Disambiguated ID Type / Status
Subject Lithuanian Railways network E402677 entity
Predicate regionServed P82 FINISHED
Object Panevėžys County E423168 NE FINISHED

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: Panevėžys County | Statement: [Lithuanian Railways network, regionServed, Panevėžys County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panevėžys County
Context triple: [Lithuanian Railways network, regionServed, Panevėžys County]
  • A. Panevėžys County chosen
    Panevėžys County is an administrative region in northern Lithuania centered on the city of Panevėžys and known for its mixed urban and agricultural landscape.
  • B. Šiauliai County
    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.
  • 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. Kėdainiai County
    Kėdainiai County is a historical region in central Lithuania known for its multicultural heritage and as the birthplace of Nobel Prize–winning poet Czesław Miłosz.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3595bbbbc8190b023f4872908c031 completed April 18, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007595cfd08190bae54d29427a1d3c completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:16 a.m.