Triple

T13600017
Position Surface form Disambiguated ID Type / Status
Subject The Pinkprint E324917 entity
Predicate hasPart P35 FINISHED
Object Shanghai
Shanghai is China's largest and most populous city, a global financial hub known for its modern skyline, historic waterfront, and vibrant cultural scene.
 E5256 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: Shanghai | Statement: [The Pinkprint, hasPart, Shanghai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shanghai
Context triple: [The Pinkprint, hasPart, Shanghai]
  • A. Shanghai
    Shanghai is a major global financial hub and China’s largest city, known for its modern skyline, historic waterfront, and role as a center of international business and trade.
  • B. Shanghai
    Shanghai is a major Ethereum network upgrade that introduced key changes such as enabling staked ETH withdrawals and improving the protocol’s efficiency and flexibility.
  • C. Shanghai
    Shanghai is an unincorporated community located in Berkeley County, West Virginia, United States.
  • D. Hangtou
    Hangtou is a town in Shanghai, China, known as the southern terminus of the Shanghai Metro’s Line 18.
  • E. Beijing
    Beijing is the capital city of China, a major political, cultural, and economic center known for its rich history and rapid modern 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: Shanghai
Triple: [The Pinkprint, hasPart, Shanghai]
Generated description
Shanghai is China's largest and most populous city, a global financial hub known for its modern skyline, historic waterfront, and vibrant cultural scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shanghai
Target entity description: Shanghai is China's largest and most populous city, a global financial hub known for its modern skyline, historic waterfront, and vibrant cultural scene.
  • A. Shanghai chosen
    Shanghai is a major global financial hub and China’s largest city, known for its modern skyline, historic waterfront, and role as a center of international business and trade.
  • B. Shanghai
    Shanghai is a major Ethereum network upgrade that introduced key changes such as enabling staked ETH withdrawals and improving the protocol’s efficiency and flexibility.
  • C. Shanghai
    Shanghai is an unincorporated community located in Berkeley County, West Virginia, United States.
  • D. Hangtou
    Hangtou is a town in Shanghai, China, known as the southern terminus of the Shanghai Metro’s Line 18.
  • E. Beijing
    Beijing is the capital city of China, a major political, cultural, and economic center known for its rich history and rapid modern development.
  • F. None of above.

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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0795acc8190a08667ab9dcb0d44 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f8239c481909faf5a9c403b55f2 completed May 3, 2026, 5:01 p.m.
NEDg Description generation batch_69f7800caaf0819085e553f96a9f99cf completed May 3, 2026, 5:04 p.m.
NED2 Entity disambiguation (via description) batch_69f78089050c81909943164d1a41a37f completed May 3, 2026, 5:06 p.m.
Created at: April 9, 2026, 9:49 p.m.