Triple

T6107911
Position Surface form Disambiguated ID Type / Status
Subject Legoland parks E136160 entity
Predicate hasPark P105 FINISHED
Object Legoland Sichuan E136160 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: Legoland Sichuan | Statement: [Legoland parks, hasPark, Legoland Sichuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Legoland Sichuan
Context triple: [Legoland parks, hasPark, Legoland Sichuan]
  • A. Chimelong Ocean Kingdom
    Chimelong Ocean Kingdom is a large marine-themed amusement park and aquarium complex in Zhuhai, China, known for its massive ocean habitats, animal shows, and thrill rides.
  • B. Gardaland
    Gardaland is a major Italian theme park and resort near Lake Garda, known for its roller coasters, family attractions, and themed entertainment.
  • C. Shanghai Film Park
    Shanghai Film Park is a large movie-themed attraction in Shanghai that recreates historical cityscapes for film and television production as well as tourism.
  • D. Legoland parks chosen
    Legoland parks are family-oriented theme parks centered around the Lego toy brand, featuring Lego-themed rides, attractions, and interactive building experiences.
  • E. 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.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b81fad081909b622cafc6d51249 completed March 22, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1255b27a88190b45b664a2ba41166 completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:13 p.m.