Triple

T4229921
Position Surface form Disambiguated ID Type / Status
Subject Irchelpark E94553 entity
Predicate hasNameInLanguage P15 FINISHED
Object Irchelpark (German) E94553 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: Irchelpark (German) | Statement: [Irchelpark, hasNameInLanguage, Irchelpark (German)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irchelpark (German)
Context triple: [Irchelpark, hasNameInLanguage, Irchelpark (German)]
  • A. Irchelpark chosen
    Irchelpark is a large public park in Zurich, Switzerland, known for its landscaped green spaces, ponds, and integration with the University of Zurich’s Irchel campus.
  • B. Kronenburgerpark
    Kronenburgerpark is a historic public park in the Dutch city of Nijmegen, known for its medieval city wall, tower, and scenic green spaces.
  • C. Hofwiesenpark
    Hofwiesenpark is a large riverside public park in the city of Gera, Germany, known for its recreational facilities, green spaces, and role as a venue for local events and festivals.
  • D. Volkspark Rehberge
    Volkspark Rehberge is a large public park in Berlin known for its expansive green spaces, woodlands, and recreational facilities.
  • E. Schillerpark
    Schillerpark is a historic public park in Berlin known for its expansive lawns, tree-lined paths, and role as a popular recreational area for local residents.
  • 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_69b34e61ccc081909b880baf1d6a0f24 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5964cd0088190a97ca5278046ba7b completed March 14, 2026, 5:09 p.m.
Created at: March 12, 2026, 11:05 p.m.