Triple

T5831473
Position Surface form Disambiguated ID Type / Status
Subject Fuzhou E129358 entity
Predicate romanization P2508 FINISHED
Object Foochow
Foochow is an older English romanization of the name of Fuzhou, the capital city of Fujian Province in southeastern China.
E550812 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: Foochow | Statement: [Fuzhou, romanization, Foochow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Foochow
Context triple: [Fuzhou, romanization, Foochow]
  • A. Weihai
    Weihai is a coastal city in eastern China known for its strategic location on the Yellow Sea, maritime history, and role as a major port and tourist destination.
  • B. Laizhou
    Laizhou is a county-level coastal city in northeastern Shandong Province, China, known for its salt, gold, and chemical industries.
  • C. Yantai
    Yantai is a coastal city in Shandong Province, China, known for its port, wine production, and scenic beaches along the Bohai Sea.
  • D. Qingdao
    Qingdao is a major coastal city in eastern China known for its port, beaches, German colonial architecture, and Tsingtao Brewery.
  • E. Weifang
    Weifang is a prefecture-level city in eastern China known for its kite-making tradition and annual international kite festival.
  • 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: Foochow
Triple: [Fuzhou, romanization, Foochow]
Generated description
Foochow is an older English romanization of the name of Fuzhou, the capital city of Fujian Province in southeastern China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Foochow
Target entity description: Foochow is an older English romanization of the name of Fuzhou, the capital city of Fujian Province in southeastern China.
  • A. Weihai
    Weihai is a coastal city in eastern China known for its strategic location on the Yellow Sea, maritime history, and role as a major port and tourist destination.
  • B. Laizhou
    Laizhou is a county-level coastal city in northeastern Shandong Province, China, known for its salt, gold, and chemical industries.
  • C. Yantai
    Yantai is a coastal city in Shandong Province, China, known for its port, wine production, and scenic beaches along the Bohai Sea.
  • D. Qingdao
    Qingdao is a major coastal city in eastern China known for its port, beaches, German colonial architecture, and Tsingtao Brewery.
  • E. Weifang
    Weifang is a prefecture-level city in eastern China known for its kite-making tradition and annual international kite festival.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0346ac31c8190bbd28444f75da875 completed March 22, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a19010008190af5600a035246c1a completed March 23, 2026, 2:12 a.m.
NEDg Description generation batch_69c0a223129081908288d90f7cf51668 completed March 23, 2026, 2:14 a.m.
NED2 Entity disambiguation (via description) batch_69c0a294ba748190a86ec8400df73237 completed March 23, 2026, 2:16 a.m.
Created at: March 22, 2026, 3:54 p.m.