Triple

T10296817
Position Surface form Disambiguated ID Type / Status
Subject Chorzów E241511 entity
Predicate hasPark P105 FINISHED
Object Silesian Park E856033 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: Silesian Park | Statement: [Chorzów, hasPark, Silesian Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silesian Park
Context triple: [Chorzów, hasPark, Silesian Park]
  • A. Silesian Park chosen
    Silesian Park is a large urban recreational and cultural complex in the Silesian metropolitan area of southern Poland, featuring extensive green spaces, entertainment facilities, and popular tourist attractions.
  • B. Szczytnicki Park
    Szczytnicki Park is a large historic public park in Wrocław, Poland, known for its extensive greenery, walking paths, and notable Japanese Garden.
  • C. Tricity Landscape Park
    Tricity Landscape Park is a protected natural area in northern Poland known for its forested hills, diverse wildlife, and recreational trails near the Gdańsk–Gdynia–Sopot urban area.
  • D. Ujazdów Park
    Ujazdów Park is a historic public park in central Warsaw, Poland, known for its landscaped paths, ponds, and monuments.
  • E. Duden Park
    Duden Park is a public green space in the Brussels municipality of Uccle, known for its wooded areas, walking paths, and recreational facilities.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ebd258819099fadddcd13099fc completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75018383481909abbba8247a93f8e completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:43 a.m.