Triple

T10460254
Position Surface form Disambiguated ID Type / Status
Subject AsiaWorld-Expo E246651 entity
Predicate hasPart P35 FINISHED
Object Hall 9
Hall 9 is an exhibition and event hall within the AsiaWorld-Expo complex in Hong Kong, used for trade shows, concerts, and large-scale gatherings.
 E865025 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: Hall 9 | Statement: [AsiaWorld-Expo, hasPart, Hall 9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hall 9
Context triple: [AsiaWorld-Expo, hasPart, Hall 9]
  • A. Hall H
    Hall H is the massive, high-profile main presentation hall at San Diego Comic-Con, famed for hosting the convention’s biggest and most anticipated panels and premieres.
  • B. Hall
    Hall is a common English surname borne by numerous notable individuals across diverse fields such as science, arts, and public life.
  • C. Hall
    Hall is a small rural village and outer suburb of Canberra in the Australian Capital Territory, known for its historic character and village atmosphere.
  • D. Hall 2
    Hall 2 is one of the main concourse areas within Paris’s Gare de Lyon railway station, serving passengers with platforms, services, and amenities.
  • E. Hall 1
    Hall 1 is one of the main passenger halls of Paris’s Gare de Lyon railway station, serving as a central area for platforms, services, and traveler amenities.
  • 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: Hall 9
Triple: [AsiaWorld-Expo, hasPart, Hall 9]
Generated description
Hall 9 is an exhibition and event hall within the AsiaWorld-Expo complex in Hong Kong, used for trade shows, concerts, and large-scale gatherings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hall 9
Target entity description: Hall 9 is an exhibition and event hall within the AsiaWorld-Expo complex in Hong Kong, used for trade shows, concerts, and large-scale gatherings.
  • A. Hall H
    Hall H is the massive, high-profile main presentation hall at San Diego Comic-Con, famed for hosting the convention’s biggest and most anticipated panels and premieres.
  • B. Hall
    Hall is a small rural village and outer suburb of Canberra in the Australian Capital Territory, known for its historic character and village atmosphere.
  • C. Hall
    Hall is a common English surname borne by numerous notable individuals across diverse fields such as science, arts, and public life.
  • D. Hall 2
    Hall 2 is one of the main concourse areas within Paris’s Gare de Lyon railway station, serving passengers with platforms, services, and amenities.
  • E. Hall 1
    Hall 1 is one of the main passenger halls of Paris’s Gare de Lyon railway station, serving as a central area for platforms, services, and traveler amenities.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50882eb0c8190a4311634b867eab1 completed April 7, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fcc84b48190a39de0d9b9111ebd completed April 10, 2026, 6:59 a.m.
NEDg Description generation batch_69d8a1656b348190ba932d03402d6a4d completed April 10, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_69d8a2b82bb48190899f37a967fef444 completed April 10, 2026, 7:11 a.m.
Created at: April 6, 2026, 12:18 p.m.