Triple

T4475826
Position Surface form Disambiguated ID Type / Status
Subject Window of the World E100005 entity
Predicate hasSection P35 FINISHED
Object Asia area
Asia area is a themed section of the Window of the World park that showcases famous landmarks and cultural elements from across the Asian continent.
E442560 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: Asia area | Statement: [Window of the World, hasSection, Asia area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asia area
Context triple: [Window of the World, hasSection, Asia area]
  • A. Planet Asia
    Planet Asia is an American underground hip hop rapper known for his intricate lyricism and influential role in the West Coast rap scene.
  • B. Asia
    Asia is a figure in Greek mythology, often considered an Oceanid nymph associated with the region that later bore her name.
  • C. Asia
    Asia is a figure in Greek mythology, often considered one of the Oceanids and associated with the region that later bore her name.
  • D. Asia
    Asia is a British rock supergroup formed in the early 1980s, known for its melodic progressive rock sound and hits like "Heat of the Moment."
  • E. Asia
    Asia is the world’s largest and most populous continent, encompassing diverse cultures, languages, and landscapes across the Eastern and Northern Hemispheres.
  • 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: Asia area
Triple: [Window of the World, hasSection, Asia area]
Generated description
Asia area is a themed section of the Window of the World park that showcases famous landmarks and cultural elements from across the Asian continent.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Asia area
Target entity description: Asia area is a themed section of the Window of the World park that showcases famous landmarks and cultural elements from across the Asian continent.
  • A. Planet Asia
    Planet Asia is an American underground hip hop rapper known for his intricate lyricism and influential role in the West Coast rap scene.
  • B. Asia
    Asia is a figure in Greek mythology, often considered an Oceanid nymph associated with the region that later bore her name.
  • C. Asia
    Asia is a figure in Greek mythology, often considered one of the Oceanids and associated with the region that later bore her name.
  • D. Asia
    Asia is a British rock supergroup formed in the early 1980s, known for its melodic progressive rock sound and hits like "Heat of the Moment."
  • E. Asia
    Asia is the world’s largest and most populous continent, encompassing diverse cultures, languages, and landscapes across the Eastern and Northern Hemispheres.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356bc4a248190b4a031f07f39b5bd completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6288434188190a23c48267f55ce1e completed March 15, 2026, 3:33 a.m.
NEDg Description generation batch_69b62c7f847c81908335cef514f402ee completed March 15, 2026, 3:50 a.m.
NED2 Entity disambiguation (via description) batch_69b62d248a2881908a314a8919c7648e completed March 15, 2026, 3:53 a.m.
Created at: March 12, 2026, 11:35 p.m.