Triple

T8614948
Position Surface form Disambiguated ID Type / Status
Subject Madurai Kamaraj University E204011 entity
Predicate acronym P43 FINISHED
Object MKU
MKU is a public state university in Madurai, Tamil Nadu, India, known for its wide range of undergraduate, postgraduate, and research programs across arts, science, commerce, and management.
E745478 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: MKU | Statement: [Madurai Kamaraj University, acronym, MKU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MKU
Context triple: [Madurai Kamaraj University, acronym, MKU]
  • A. M-K
    M-K is the commonly used abbreviation for Morrison-Knudsen, a major American engineering and construction company known for large-scale infrastructure projects.
  • B. Mkuze
    Mkuze is a small town in northern KwaZulu-Natal, South Africa, known as a gateway to nearby game reserves and wetlands.
  • C. MKA
    MKA is a structural and civil engineering firm known for designing high-rise and complex buildings worldwide.
  • D. MUCU
    MUCU is the ICAO airport code for Antonio Maceo International Airport in Santiago de Cuba, Cuba.
  • E. 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.
  • 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: MKU
Triple: [Madurai Kamaraj University, acronym, MKU]
Generated description
MKU is a public state university in Madurai, Tamil Nadu, India, known for its wide range of undergraduate, postgraduate, and research programs across arts, science, commerce, and management.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MKU
Target entity description: MKU is a public state university in Madurai, Tamil Nadu, India, known for its wide range of undergraduate, postgraduate, and research programs across arts, science, commerce, and management.
  • A. M-K
    M-K is the commonly used abbreviation for Morrison-Knudsen, a major American engineering and construction company known for large-scale infrastructure projects.
  • B. Mkuze
    Mkuze is a small town in northern KwaZulu-Natal, South Africa, known as a gateway to nearby game reserves and wetlands.
  • C. MKA
    MKA is a structural and civil engineering firm known for designing high-rise and complex buildings worldwide.
  • D. MUCU
    MUCU is the ICAO airport code for Antonio Maceo International Airport in Santiago de Cuba, Cuba.
  • E. 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.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc47020748819090f658c115c1a7b9 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea91c30ec81908dafc1caf057e41c completed April 2, 2026, 5:36 p.m.
NEDg Description generation batch_69cea9e685388190a4be9d2135dc02d0 completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaababe2c8190bc47430d33bfdbaa completed April 2, 2026, 5:43 p.m.
Created at: March 30, 2026, 6:25 p.m.