Triple

T11682852
Position Surface form Disambiguated ID Type / Status
Subject Podlaskie Voivodeship E277661 entity
Predicate containsTown P847 FINISHED
Object Sokółka E287212 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: Sokółka | Statement: [Podlaskie Voivodeship, containsTown, Sokółka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sokółka
Context triple: [Podlaskie Voivodeship, containsTown, Sokółka]
  • A. Sokółka chosen
    Sokółka is a small town in northeastern Poland known for its location in the Podlasie region near the border with Belarus.
  • B. Sokołówka
    Sokołówka is a small river in Poland known for flowing through the city of Łódź and its surrounding areas.
  • C. Kuryłówka
    Kuryłówka is a village in southeastern Poland, historically notable as the birthplace of pianist, composer, and statesman Ignacy Jan Paderewski.
  • D. Kurzętnik
    Kurzętnik is a village in northern Poland known for its historical character and location within the picturesque Warmian-Masurian region.
  • E. Sukiennice
    Sukiennice is a historic Renaissance cloth hall and landmark market building located in the main square of Kraków, Poland.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a462bb2881909238107d34c0a28d completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef142269d08190a9e5cf8d6268168b completed April 27, 2026, 7:45 a.m.
Created at: April 8, 2026, 9:40 p.m.