Triple

T9189863
Position Surface form Disambiguated ID Type / Status
Subject Orneta E220553 entity
Predicate neighboringTown P3883 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: [Orneta, neighboringTown, Pieniężno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pieniężno
Context triple: [Orneta, neighboringTown, 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. Pyrzyce
    Pyrzyce is a historic town in northwestern Poland known for its medieval fortifications and location within the West Pomeranian region.
  • D. Zawichost
    Zawichost is a small historic town in southeastern Poland, situated on the Vistula River in the Świętokrzyskie Voivodeship.
  • E. Piastów
    Piastów is a small town in east-central Poland that functions as a residential suburb within the Warsaw metropolitan area.
  • 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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5bd8c5c81909d0cdbcd7410fcee completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c272f508190aade1769c88cf16d completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:24 p.m.