Triple

T5106630
Position Surface form Disambiguated ID Type / Status
Subject Haga Palace E115110 entity
Predicate partOf P40 FINISHED
Object Haga Park landscape garden E419929 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: Haga Park landscape garden | Statement: [Haga Palace, partOf, Haga Park landscape garden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haga Park landscape garden
Context triple: [Haga Palace, partOf, Haga Park landscape garden]
  • A. Haga Park
    Haga Park is a historic royal park in the Stockholm area known for its landscaped grounds, cultural heritage sites, and recreational green spaces.
  • B. Taejongdae Park
    Taejongdae Park is a scenic coastal park in Busan, South Korea, famous for its dramatic seaside cliffs, lighthouse views, and walking trails overlooking the ocean.
  • C. Haga Park palace complex chosen
    The Haga Park palace complex is a historic royal park area in Solna, Sweden, known for its landscaped gardens, pavilions, and royal residences associated with the Swedish monarchy.
  • D. Daewangam Park
    Daewangam Park is a coastal park in Ulsan, South Korea, known for its dramatic seaside cliffs, pine forest trails, and views of the Daewangam Rock formation.
  • E. Yongdusan Park
    Yongdusan Park is a popular hilltop park in Busan, South Korea, known for its scenic city and harbor views, walking paths, and the iconic Busan Tower.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75a7c6748190b02b7c2b617c830f completed March 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec36fe8dc8190a391547043d28e11 completed March 21, 2026, 4:12 p.m.
Created at: March 20, 2026, 1:41 p.m.