Triple

T1948616
Position Surface form Disambiguated ID Type / Status
Subject United Front Work Department E42110 entity
Predicate shortName P43 FINISHED
Object UFWD
UFWD is the abbreviation for the Chinese Communist Party’s United Front Work Department, an agency responsible for influence, outreach, and united front activities domestically and abroad.
 E219690 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: UFWD | Statement: [United Front Work Department, shortName, UFWD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UFWD
Context triple: [United Front Work Department, shortName, UFWD]
  • A. UF
    UF is a major public research university located in Gainesville, Florida, known for its strong academic programs and prominent athletic teams, the Florida Gators.
  • B. UWF
    UWF is a public university in Pensacola, Florida, offering undergraduate and graduate programs across a range of disciplines.
  • C. PUFC
    PUFC is the commonly used abbreviation for Peterborough United Football Club, an English professional football team based in Peterborough.
  • D. WF
    WF is the common abbreviation for Wikifunctions, a Wikimedia project aimed at creating a collaborative catalog of reusable functions.
  • E. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • 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: UFWD
Triple: [United Front Work Department, shortName, UFWD]
Generated description
UFWD is the abbreviation for the Chinese Communist Party’s United Front Work Department, an agency responsible for influence, outreach, and united front activities domestically and abroad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UFWD
Target entity description: UFWD is the abbreviation for the Chinese Communist Party’s United Front Work Department, an agency responsible for influence, outreach, and united front activities domestically and abroad.
  • A. UF
    UF is a major public research university located in Gainesville, Florida, known for its strong academic programs and prominent athletic teams, the Florida Gators.
  • B. UWF
    UWF is a public university in Pensacola, Florida, offering undergraduate and graduate programs across a range of disciplines.
  • C. PUFC
    PUFC is the commonly used abbreviation for Peterborough United Football Club, an English professional football team based in Peterborough.
  • D. WF
    WF is the common abbreviation for Wikifunctions, a Wikimedia project aimed at creating a collaborative catalog of reusable functions.
  • E. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3315df481908f60cd87453fbc03 completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbc17ce08190bd74c9c62d260326 completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc3d37e4819082673b84eb5a19f2 completed March 8, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69adfd7ef5588190ab85f3981466d1e0 completed March 8, 2026, 10:51 p.m.
Created at: March 4, 2026, 7:36 p.m.