Triple

T17025707
Position Surface form Disambiguated ID Type / Status
Subject Wheels on Meals E413057 entity
Predicate alsoKnownAs P39 FINISHED
Object 快餐車
《快餐車》是一部由成龍、洪金寶和元彪主演的1984年香港動作喜劇電影，以精彩武打場面與幽默風格聞名。
 E1246437 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: 快餐車 | Statement: [Wheels on Meals, alsoKnownAs, 快餐車]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 快餐車
Context triple: [Wheels on Meals, alsoKnownAs, 快餐車]
  • A. Carl's Jr.
    Carl's Jr. is an American fast-food restaurant chain known for its charbroiled burgers and often provocative advertising campaigns.
  • B. The Chuck Wagon food truck
    The Chuck Wagon food truck is a casual, outdoor quick-service spot at Disney’s Fort Wilderness Resort & Campground known for serving campfire-style snacks, burgers, and refreshments to guests.
  • C. Burger World
    Burger World is a fictional fast-food restaurant featured in the animated series "Beavis and Butt-Head," where the main characters work.
  • D. Fresh Express
    Fresh Express is a major U.S. producer and marketer of pre-packaged fresh salads and leafy greens.
  • E. Chipotlane (drive-thru format)
    Chipotlane is Chipotle Mexican Grill’s drive-thru restaurant format that lets customers pick up digital orders without leaving their cars.
  • 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: 快餐車
Triple: [Wheels on Meals, alsoKnownAs, 快餐車]
Generated description
《快餐車》是一部由成龍、洪金寶和元彪主演的1984年香港動作喜劇電影，以精彩武打場面與幽默風格聞名。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 快餐車
Target entity description: 《快餐車》是一部由成龍、洪金寶和元彪主演的1984年香港動作喜劇電影，以精彩武打場面與幽默風格聞名。
  • A. Carl's Jr.
    Carl's Jr. is an American fast-food restaurant chain known for its charbroiled burgers and often provocative advertising campaigns.
  • B. The Chuck Wagon food truck
    The Chuck Wagon food truck is a casual, outdoor quick-service spot at Disney’s Fort Wilderness Resort & Campground known for serving campfire-style snacks, burgers, and refreshments to guests.
  • C. Burger World
    Burger World is a fictional fast-food restaurant featured in the animated series "Beavis and Butt-Head," where the main characters work.
  • D. Fresh Express
    Fresh Express is a major U.S. producer and marketer of pre-packaged fresh salads and leafy greens.
  • E. Chipotlane (drive-thru format)
    Chipotlane is Chipotle Mexican Grill’s drive-thru restaurant format that lets customers pick up digital orders without leaving their cars.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d46a5081908bc5681621dd8534 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b53306081908972a0a5db474b6c completed May 10, 2026, 11:57 p.m.
NEDg Description generation batch_6a011cfb74b88190bbd5af862727790f completed May 11, 2026, 12:04 a.m.
NED2 Entity disambiguation (via description) batch_6a011dad838c8190a1ea560680c9ca57 completed May 11, 2026, 12:07 a.m.
Created at: April 10, 2026, 5:33 a.m.