Triple

T14933932
Position Surface form Disambiguated ID Type / Status
Subject Braniewo E372339 entity
Predicate nearbyCity P350 FINISHED
Object Pieniężno E220552 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: Pieniężno | Statement: [Braniewo, nearbyCity, Pieniężno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pieniężno
Context triple: [Braniewo, nearbyCity, Pieniężno]
  • A. Pieniężno chosen
    Pieniężno is a small town in northern Poland known for its historic architecture and location within the picturesque Warmian-Masurian region.
  • B. Szerzyny
    Szerzyny is a village in southern Poland located within the administrative region of Lesser Poland Voivodeship.
  • C. Niegocin
    Niegocin is a large, popular recreational lake in northeastern Poland’s Masurian Lake District, known for sailing, water sports, and scenic natural surroundings.
  • D. Pyrzyce
    Pyrzyce is a historic town in northwestern Poland known for its medieval fortifications and location within the West Pomeranian region.
  • E. Ryczówek
    Ryczówek is a village in southern Poland located within the administrative district of Gmina Klucze in Lesser Poland Voivodeship.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded646a0808190ba5c0c91bde011c5 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e8c8d188190b027f14256b0ce01 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:37 a.m.