Triple

T2838832
Position Surface form Disambiguated ID Type / Status
Subject Piast dynasty E62413 entity
Predicate capital P234 FINISHED
Object Gniezno E226276 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: Gniezno | Statement: [Piast dynasty, capital, Gniezno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gniezno
Context triple: [Piast dynasty, capital, Gniezno]
  • A. Gniezno chosen
    Gniezno is a historic city in west-central Poland, renowned as the country’s first capital and an early center of Polish statehood and Christianity.
  • B. Płock
    Płock is a historic city in central Poland known for its medieval architecture and scenic location on the banks of the Vistula River.
  • C. Toruń
    Toruń is a historic city in northern Poland, renowned for its well-preserved medieval Old Town and as the birthplace of astronomer Nicolaus Copernicus.
  • D. Sandomierz
    Sandomierz is a historic town in southeastern Poland, known for its well-preserved Old Town, medieval architecture, and picturesque location on the Vistula River.
  • E. Zamość
    Zamość is a Renaissance-planned city in southeastern Poland, renowned for its well-preserved Old Town and UNESCO World Heritage status.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdef015bc81909f6a2ff17b22862f completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69b108c7cfd48190b959e60b9e7fc0fa completed March 11, 2026, 6:16 a.m.
Created at: March 6, 2026, 10:01 p.m.