Triple

T4227361
Position Surface form Disambiguated ID Type / Status
Subject Kazimierz Jewish Quarter E94489 entity
Predicate contains P35 FINISHED
Object Plac Nowy E408288 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: Plac Nowy | Statement: [Kazimierz Jewish Quarter, contains, Plac Nowy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plac Nowy
Context triple: [Kazimierz Jewish Quarter, contains, Plac Nowy]
  • A. Plac Nowy chosen
    Plac Nowy is a historic central square and social hub in Kraków’s Kazimierz district, known for its market stalls, food vendors, and vibrant nightlife.
  • B. Bielany
    Bielany is a northern district of Warsaw, Poland, known for its residential neighborhoods, green spaces, and connection to the city center via the Warsaw Metro.
  • C. Ujazdów
    Ujazdów is a historic neighborhood in central Warsaw, known for its palaces, government buildings, and extensive green areas including parks and gardens.
  • D. Mrągowo
    Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
  • E. Ostrołęka
    Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
  • 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e5003008190834726e46df3ee9b completed March 12, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5964a388881908038e5a612424b9b completed March 14, 2026, 5:09 p.m.
Created at: March 12, 2026, 11:04 p.m.