Triple

T384938
Position Surface form Disambiguated ID Type / Status
Subject George Washington University E8759 entity
Predicate academicAffiliation P467 FINISHED
Object CUWMA
CUWMA is an academic organization or department associated with George Washington University, likely focused on a specialized area of research or study.
 E48783 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: CUWMA | Statement: [George Washington University, academicAffiliation, CUWMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CUWMA
Context triple: [George Washington University, academicAffiliation, CUWMA]
  • A. CWA
    CWA is a major U.S. environmental law that regulates the discharge of pollutants into the nation’s waters and sets water quality standards.
  • B. USMIA
    USMIA is the UN/LOCODE identifier for the port and transport hub of Miami in the United States.
  • C. CUHAV
    CUHAV is the UN/LOCODE identifier for the port and city of Havana, the capital of Cuba.
  • D. WECA
    WECA is the former name of the Wi‑Fi Alliance, the global industry consortium that develops and certifies Wi‑Fi standards and interoperability.
  • E. CUL
    CUL is the main research library of the University of Cambridge and one of the largest and most important academic libraries in the United Kingdom.
  • 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: CUWMA
Triple: [George Washington University, academicAffiliation, CUWMA]
Generated description
CUWMA is an academic organization or department associated with George Washington University, likely focused on a specialized area of research or study.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CUWMA
Target entity description: CUWMA is an academic organization or department associated with George Washington University, likely focused on a specialized area of research or study.
  • A. CWA
    CWA is a major U.S. environmental law that regulates the discharge of pollutants into the nation’s waters and sets water quality standards.
  • B. USMIA
    USMIA is the UN/LOCODE identifier for the port and transport hub of Miami in the United States.
  • C. CUHAV
    CUHAV is the UN/LOCODE identifier for the port and city of Havana, the capital of Cuba.
  • D. WECA
    WECA is the former name of the Wi‑Fi Alliance, the global industry consortium that develops and certifies Wi‑Fi standards and interoperability.
  • E. CUL
    CUL is the main research library of the University of Cambridge and one of the largest and most important academic libraries in the United Kingdom.
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec4345a48190a413261cba4eafd7 completed Feb. 28, 2026, 1:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3fe95c7088190a1538eecb2ac6955 completed March 1, 2026, 8:53 a.m.
NEDg Description generation batch_69a3fec1294c8190bff1dc2c8ec6bfb0 completed March 1, 2026, 8:54 a.m.
NED2 Entity disambiguation (via description) batch_69a3ff1db088819087542685fbad01ad completed March 1, 2026, 8:55 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.