Triple

T13914326
Position Surface form Disambiguated ID Type / Status
Subject Starost of Lanckorona E334579 entity
Predicate locatedIn P40 FINISHED
Object Lanckorona E839337 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: Lanckorona | Statement: [Starost of Lanckorona, locatedIn, Lanckorona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lanckorona
Context triple: [Starost of Lanckorona, locatedIn, Lanckorona]
  • A. Lanckorona chosen
    Lanckorona is a historic village in southern Poland known for its well-preserved wooden architecture and picturesque hillside setting.
  • B. Lichmera
    Lichmera is a genus of honeyeaters, small nectar-feeding passerine birds native mainly to Australasia and surrounding regions.
  • C. Karwia
    Karwia is a seaside village on the Baltic coast of northern Poland, known for its wide sandy beaches and role as a popular summer resort.
  • D. Lancrăm
    Lancrăm is a village in Alba County, Romania, known as the birthplace of the poet and philosopher Lucian Blaga.
  • E. Lanaken
    Lanaken is a municipality in the Belgian province of Limburg, known for its proximity to Maastricht and its mix of residential areas, industry, and natural landscapes.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de27245c648190b2946845ce0fdbf8 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c72a345481908f8552bca7bb1a5a completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:16 p.m.