Triple

T19497974
Position Surface form Disambiguated ID Type / Status
Subject E-DA World E487823 entity
Predicate hasPart P35 FINISHED
Object E-DA Theme Park NE NERFINISHED

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: E-DA Theme Park | Statement: [E-DA World, hasPart, E-DA Theme Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E-DA Theme Park
Context triple: [E-DA World, hasPart, E-DA Theme Park]
  • A. E-DA Theme Park chosen
    E-DA Theme Park is a large Greek-themed amusement park and resort complex in Kaohsiung, Taiwan, featuring rides, entertainment, shopping, and accommodation.
  • B. ETO Park
    ETO Park is a modern multi-purpose football stadium and sports complex in Győr, Hungary, primarily serving as the home ground of the local club Rába ETO Győr.
  • C. Window of the World theme park
    Window of the World theme park is a large cultural and tourist attraction in Shenzhen featuring miniature replicas of famous landmarks from around the globe.
  • D. ESCAPE Theme Park
    ESCAPE Theme Park is an outdoor adventure and water park in Penang, Malaysia, known for its eco-friendly design and thrilling attractions like zip lines, obstacle courses, and record-breaking water slides.
  • E. OCT East theme park
    OCT East theme park is a large eco-themed leisure and entertainment resort in Shenzhen, China, featuring amusement rides, natural scenery, and cultural attractions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63493232881909fc33fb84da3e1b5 completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:40 p.m.