Triple

T11682858
Position Surface form Disambiguated ID Type / Status
Subject Podlaskie Voivodeship E277661 entity
Predicate containsTown P847 FINISHED
Object Czarna Białostocka E799314 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: Czarna Białostocka | Statement: [Podlaskie Voivodeship, containsTown, Czarna Białostocka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Czarna Białostocka
Context triple: [Podlaskie Voivodeship, containsTown, Czarna Białostocka]
  • A. Czarna Białostocka chosen
    Czarna Białostocka is a small town in north-eastern Poland, situated in the Podlaskie Voivodeship and known for its surrounding forests and proximity to the regional capital Białystok.
  • B. Czerna Wielka
    Czerna Wielka is a river in western Poland that serves as a left-bank tributary of the Lusatian Neisse.
  • C. Słupia
    Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • D. Biała
    Biała is a river in southern Poland known for flowing through the city of Bielsko-Biała before joining the Vistula basin.
  • E. Biała
    Biała is a former town in southern Poland that historically developed as a separate urban center before being merged with Bielsko to form the modern city of Bielsko-Biała.
  • 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.