Triple

T3571363
Position Surface form Disambiguated ID Type / Status
Subject Worlds of Fun E75577 entity
Predicate hasArea P175 FINISHED
Object Orient
Orient is a themed section of the Worlds of Fun amusement park inspired by Asian cultures and architecture.
 E368786 NE FINISHED

How this triple was built (4 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: Orient | Statement: [Worlds of Fun, hasArea, Orient]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Orient
Context triple: [Worlds of Fun, hasArea, Orient]
  • A. L’Orient
    L’Orient was a massive French ship of the line that served as Admiral Brueys’ flagship and was famously destroyed in a catastrophic explosion during the Battle of the Nile in 1798.
  • B. Easty
    Easty is the surname of Mary Easty, one of the women executed during the Salem witch trials in 1692.
  • C. Odishi
    Odishi is the historical name for a region in western Georgia, corresponding largely to present-day Samegrelo and known for its distinct Mingrelian culture and history.
  • D. Otzias
    Otzias is a coastal village and beach resort on the Greek island of Kea in the Cyclades.
  • E. Awori
    The Awori are a subgroup of the Yoruba people known for their early settlement around Lagos and Ogun in southwestern Nigeria and their significant role in the region’s cultural and urban development.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Orient
Triple: [Worlds of Fun, hasArea, Orient]
Generated description
Orient is a themed section of the Worlds of Fun amusement park inspired by Asian cultures and architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Orient
Target entity description: Orient is a themed section of the Worlds of Fun amusement park inspired by Asian cultures and architecture.
  • A. L’Orient
    L’Orient was a massive French ship of the line that served as Admiral Brueys’ flagship and was famously destroyed in a catastrophic explosion during the Battle of the Nile in 1798.
  • B. Easty
    Easty is the surname of Mary Easty, one of the women executed during the Salem witch trials in 1692.
  • C. Odishi
    Odishi is the historical name for a region in western Georgia, corresponding largely to present-day Samegrelo and known for its distinct Mingrelian culture and history.
  • D. Otzias
    Otzias is a coastal village and beach resort on the Greek island of Kea in the Cyclades.
  • E. Awori
    The Awori are a subgroup of the Yoruba people known for their early settlement around Lagos and Ogun in southwestern Nigeria and their significant role in the region’s cultural and urban development.
  • F. None of above. chosen

Provenance (5 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0c32624819097a96b3d62e3d8f0 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbbcf2d08190901049948df66f0c completed March 13, 2026, 7:24 a.m.
NEDg Description generation batch_69b3bca07cac81908253b2b4225f3d67 completed March 13, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_69b3f5b6e66c81908700d5f3df0a864d completed March 13, 2026, 11:32 a.m.
Created at: March 8, 2026, 3:21 p.m.