Triple

T3751709
Position Surface form Disambiguated ID Type / Status
Subject Mississippi University for Women E81344 entity
Predicate abbreviation P43 FINISHED
Object MUW
MUW is a public university in Columbus, Mississippi, historically founded as the first public college for women in the United States but now coeducational.
 E383417 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: MUW | Statement: [Mississippi University for Women, abbreviation, MUW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MUW
Context triple: [Mississippi University for Women, abbreviation, MUW]
  • A. MU
    MU is the IATA airline designator assigned to China Eastern Airlines, one of China’s major carriers.
  • B. MU
    MU is the commonly used abbreviation for the University of Missouri, a major public research university based in Columbia, Missouri.
  • C. UoM
    UoM is a leading Australian public research university based in Melbourne, known for its strong academic reputation and comprehensive range of undergraduate and postgraduate programs.
  • D. MUHA
    MUHA is the ICAO airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
  • E. CUW
    CUW is the three-letter ISO 3166-1 alpha-3 country code assigned to Curaçao.
  • 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: MUW
Triple: [Mississippi University for Women, abbreviation, MUW]
Generated description
MUW is a public university in Columbus, Mississippi, historically founded as the first public college for women in the United States but now coeducational.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MUW
Target entity description: MUW is a public university in Columbus, Mississippi, historically founded as the first public college for women in the United States but now coeducational.
  • A. MU
    MU is the IATA airline designator assigned to China Eastern Airlines, one of China’s major carriers.
  • B. MU
    MU is the commonly used abbreviation for the University of Missouri, a major public research university based in Columbia, Missouri.
  • C. UoM
    UoM is a leading Australian public research university based in Melbourne, known for its strong academic reputation and comprehensive range of undergraduate and postgraduate programs.
  • D. MUHA
    MUHA is the ICAO airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
  • E. CUW
    CUW is the three-letter ISO 3166-1 alpha-3 country code assigned to Curaçao.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb909bb4819088559f90d718f72f completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db34aa5c8190ba3f22ee0f1f4208 completed March 14, 2026, 3:51 a.m.
NEDg Description generation batch_69b4dbded2c8819084c26ae2ec1c19b3 completed March 14, 2026, 3:54 a.m.
NED2 Entity disambiguation (via description) batch_69b4dc9cdfc48190be9ff5c501c9efcb completed March 14, 2026, 3:57 a.m.
Created at: March 8, 2026, 3:35 p.m.