Triple

T7721637
Position Surface form Disambiguated ID Type / Status
Subject School of Engineering, University of Minho E175024 entity
Predicate abbreviation P43 FINISHED
Object EEUM
EEUM is the engineering school of the University of Minho in Portugal, offering education and research across multiple engineering disciplines.
 E683766 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: EEUM | Statement: [School of Engineering, University of Minho, abbreviation, EEUM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EEUM
Context triple: [School of Engineering, University of Minho, abbreviation, EEUM]
  • A. UEEE
    UEEE is the ICAO airport code for Yakutsk Airport, a major air transport hub in the Sakha Republic of Russia.
  • B. UMM
    UMM is a private Islamic university in Malang, Indonesia, affiliated with the Muhammadiyah organization and known for its wide range of academic programs.
  • C. UMM
    UMM is a small public liberal arts college campus of the University of Minnesota system located in Morris, Minnesota.
  • D. UUEE
    UUEE is the ICAO airport code for Sheremetyevo International Airport, one of Moscow’s primary international air hubs in Russia.
  • E. Em
    Em is a common shortened form of the given name Emma, often used as an informal nickname.
  • 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: EEUM
Triple: [School of Engineering, University of Minho, abbreviation, EEUM]
Generated description
EEUM is the engineering school of the University of Minho in Portugal, offering education and research across multiple engineering disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EEUM
Target entity description: EEUM is the engineering school of the University of Minho in Portugal, offering education and research across multiple engineering disciplines.
  • A. UEEE
    UEEE is the ICAO airport code for Yakutsk Airport, a major air transport hub in the Sakha Republic of Russia.
  • B. UMM
    UMM is a private Islamic university in Malang, Indonesia, affiliated with the Muhammadiyah organization and known for its wide range of academic programs.
  • C. UMM
    UMM is a small public liberal arts college campus of the University of Minnesota system located in Morris, Minnesota.
  • D. UUEE
    UUEE is the ICAO airport code for Sheremetyevo International Airport, one of Moscow’s primary international air hubs in Russia.
  • E. Em
    Em is a common shortened form of the given name Emma, often used as an informal nickname.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702f1786881908b025d8986e5f1fa completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b517c64881908d24e8613dc33bf4 completed March 29, 2026, 5:13 a.m.
NEDg Description generation batch_69c8b5bb46508190b3da11b2f9bf05a6 completed March 29, 2026, 5:16 a.m.
NED2 Entity disambiguation (via description) batch_69c8b65a04a48190bf5e01ba0921cf14 completed March 29, 2026, 5:19 a.m.
Created at: March 27, 2026, 4:05 p.m.