Triple

T11052194
Position Surface form Disambiguated ID Type / Status
Subject Kuyavian-Pomeranian Voivodeship E261283 entity
Predicate hasCity P316 FINISHED
Object Nakło nad Notecią E667196 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: Nakło nad Notecią | Statement: [Kuyavian-Pomeranian Voivodeship, hasCity, Nakło nad Notecią]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nakło nad Notecią
Context triple: [Kuyavian-Pomeranian Voivodeship, hasCity, Nakło nad Notecią]
  • A. Nakło nad Notecią chosen
    Nakło nad Notecią is a historic town in north-central Poland, situated on the Noteć River and serving as an important local center of the Krajna region.
  • B. Łęczna
    Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
  • C. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • D. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • E. Niepołomice
    Niepołomice is a historic town in southern Poland known for its royal castle, proximity to the Niepołomice Forest, and location near Kraków.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7986c0df88190b29d71db5538450a completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3aa1c2d9c8190959e28ccef4e0f6d completed April 18, 2026, 3:58 p.m.
Created at: April 8, 2026, 9:26 p.m.