Triple

T13347516
Position Surface form Disambiguated ID Type / Status
Subject powiat suski E317990 entity
Predicate hasSettlement P1068 FINISHED
Object Sidzina E1034665 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: Sidzina | Statement: [powiat suski, hasSettlement, Sidzina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidzina
Context triple: [powiat suski, hasSettlement, Sidzina]
  • A. Sidzina chosen
    Sidzina is a village in southern Poland, located in the Lesser Poland Voivodeship and known for its traditional highland culture and scenic mountainous surroundings.
  • B. Nidzica
    Nidzica is a historic town in northern Poland known for its well-preserved medieval Teutonic castle and picturesque surroundings.
  • C. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • D. 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.
  • E. Bzura
    Bzura is a river in central Poland known for its historical significance, including being the site of a major World War II battle.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8b28e48190a23194e03a74b41b completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f726738ea08190b0b7634b29f5d94e completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:31 p.m.