Triple

T12062719
Position Surface form Disambiguated ID Type / Status
Subject Mazury E287213 entity
Predicate hasNameInGerman P22792 FINISHED
Object Masuren E287213 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: Masuren | Statement: [Mazury, hasNameInGerman, Masuren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masuren
Context triple: [Mazury, hasNameInGerman, Masuren]
  • A. Mazury chosen
    Mazury, also known as Masuria, is a picturesque lake district in northeastern Poland famed for its thousands of lakes, forests, and outdoor recreation opportunities.
  • B. Muhos
    Muhos is a municipality in Northern Ostrobothnia, Finland, known for its riverside landscapes along the Oulujoki and its proximity to the city of Oulu.
  • C. Naunhof
    Naunhof is a small town in the Free State of Saxony in eastern Germany, known for its surrounding lakes and forests near the city of Leipzig.
  • D. Mereczowszczyzna
    Mereczowszczyzna is a historic village in present-day Belarus best known as the birthplace of Polish–Lithuanian military leader and national hero Tadeusz Kościuszko.
  • E. Markusy
    Markusy is a village in northern Poland located in the Warmian-Masurian 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043f82248190b05692aa0dc178a8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f654eb1881908d656009f1362ecf completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.