Triple

T21150276
Position Surface form Disambiguated ID Type / Status
Subject Xujiahui E521168 entity
Predicate hasLandmark P105 FINISHED
Object Metro City
Metro City is a major shopping and entertainment complex in Shanghai’s Xujiahui district, known for its large mall, cinemas, and variety of retail and dining options.
 E1468500 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: Metro City | Statement: [Xujiahui, hasLandmark, Metro City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Metro City
Context triple: [Xujiahui, hasLandmark, Metro City]
  • A. Metro City
    Metro City is a fictional, crime-ridden American metropolis featured as the primary location in Capcom’s beat ’em up video game series Final Fight.
  • B. Metro City
    Metro City is the fictional, superhero-populated metropolis that serves as the primary setting of the animated film "Megamind."
  • C. Metroville
    Metroville is the fictional, modern American city that serves as the primary urban setting for Pixar’s superhero film "The Incredibles."
  • D. Spring City
    Spring City is the popular nickname of Kunming, the capital of Yunnan Province in China, renowned for its mild, spring-like climate year-round.
  • E. Spring City
    Spring City is a nickname for Waukesha, Wisconsin, reflecting its historic abundance of natural springs.
  • 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: Metro City
Triple: [Xujiahui, hasLandmark, Metro City]
Generated description
Metro City is a major shopping and entertainment complex in Shanghai’s Xujiahui district, known for its large mall, cinemas, and variety of retail and dining options.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Metro City
Target entity description: Metro City is a major shopping and entertainment complex in Shanghai’s Xujiahui district, known for its large mall, cinemas, and variety of retail and dining options.
  • A. Metro City
    Metro City is the fictional, superhero-populated metropolis that serves as the primary setting of the animated film "Megamind."
  • B. Metro City
    Metro City is a fictional, crime-ridden American metropolis featured as the primary location in Capcom’s beat ’em up video game series Final Fight.
  • C. Metroville
    Metroville is the fictional, modern American city that serves as the primary urban setting for Pixar’s superhero film "The Incredibles."
  • D. Spring City
    Spring City is the popular nickname of Kunming, the capital of Yunnan Province in China, renowned for its mild, spring-like climate year-round.
  • E. Spring City
    Spring City is a nickname for Waukesha, Wisconsin, reflecting its historic abundance of natural springs.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72400911c8190978e88138a9bfaff completed April 21, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a096dc839c88190be097464d8a641b3 completed May 17, 2026, 7:27 a.m.
NEDg Description generation batch_6a096e90901081909f96dcf0a7acb6cd completed May 17, 2026, 7:30 a.m.
NED2 Entity disambiguation (via description) batch_6a096f0ce3bc8190a5a82d718a898e13 completed May 17, 2026, 7:32 a.m.
Created at: April 16, 2026, 2:58 p.m.