Triple

T16802691
Position Surface form Disambiguated ID Type / Status
Subject Šariš E408396 entity
Predicate hasMajorTown P316 FINISHED
Object Lipany E476746 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: Lipany | Statement: [Šariš, hasMajorTown, Lipany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lipany
Context triple: [Šariš, hasMajorTown, Lipany]
  • A. Lipany chosen
    Lipany is a small town in northeastern Slovakia known for its historical churches and traditional Slovak culture.
  • B. Lypky
    Lypky is an upscale historic neighborhood in central Kyiv, Ukraine, known for its government buildings, diplomatic institutions, and elegant pre-revolutionary architecture.
  • C. Morawa
    Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
  • D. Lipnik
    Lipnik is a village and administrative district in south-central Poland, located within the Świętokrzyskie Voivodeship.
  • E. Lipnik
    Lipnik is a locality in present-day Poland historically known as the birthplace of renowned pianist and composer Artur Schnabel.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2c8fe58819087d3b83635255c34 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab1598dc81909fa5118e739a3291 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.