Triple

T14833524
Position Surface form Disambiguated ID Type / Status
Subject Hellenic Mediterranean University E348768 entity
Predicate abbreviation P43 FINISHED
Object HMU
HMU is the commonly used abbreviation for the Hellenic Mediterranean University, a higher education institution in Greece.
 E1121713 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: HMU | Statement: [Hellenic Mediterranean University, abbreviation, HMU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HMU
Context triple: [Hellenic Mediterranean University, abbreviation, HMU]
  • A. Hmu
    Hmu is a major Hmong-Mien (Miao) language spoken primarily by the Miao people in southern China, noted for its complex tonal system and rich oral tradition.
  • B. MUHA
    MUHA is the ICAO airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
  • C. MUH
    MUH is the IATA airport code for Marsa Matruh International Airport, which serves the coastal city of Mersa Matruh in Egypt.
  • D. UHMM
    UHMM is the ICAO airport code for Magadan Airport, a regional aviation hub in Russia’s Far East.
  • E. HM
    HM is a prefix used for classes and APIs in Apple's HomeKit framework, which enables communication and control of smart home accessories on iOS and other Apple platforms.
  • 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: HMU
Triple: [Hellenic Mediterranean University, abbreviation, HMU]
Generated description
HMU is the commonly used abbreviation for the Hellenic Mediterranean University, a higher education institution in Greece.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HMU
Target entity description: HMU is the commonly used abbreviation for the Hellenic Mediterranean University, a higher education institution in Greece.
  • A. Hmu
    Hmu is a major Hmong-Mien (Miao) language spoken primarily by the Miao people in southern China, noted for its complex tonal system and rich oral tradition.
  • B. MUHA
    MUHA is the ICAO airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
  • C. MUH
    MUH is the IATA airport code for Marsa Matruh International Airport, which serves the coastal city of Mersa Matruh in Egypt.
  • D. UHMM
    UHMM is the ICAO airport code for Magadan Airport, a regional aviation hub in Russia’s Far East.
  • E. HM
    HM is a prefix used for classes and APIs in Apple's HomeKit framework, which enables communication and control of smart home accessories on iOS and other Apple platforms.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded075af0881908fb35a9e7ee46749 completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a393988190837fdca148f4058c completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe3bcd4a588190990ab1f371373bfb completed May 8, 2026, 7:38 p.m.
NED2 Entity disambiguation (via description) batch_69fe3c9ee6e48190b5d6532804bfc15b completed May 8, 2026, 7:42 p.m.
Created at: April 10, 2026, 1:52 a.m.