Triple

T9016149
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Medicine and Dentistry E215597 entity
Predicate hasAbbreviation P43 FINISHED
Object FMD
FMD is the commonly used abbreviation for the Faculty of Medicine and Dentistry, an academic unit that provides education and research in medical and dental sciences.
 E773099 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: FMD | Statement: [Faculty of Medicine and Dentistry, hasAbbreviation, FMD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FMD
Context triple: [Faculty of Medicine and Dentistry, hasAbbreviation, FMD]
  • A. FMD
    FMD is a Forward Multiplicity Detector used in high-energy physics experiments to measure the number and distribution of particles produced at small angles relative to the beam line.
  • B. FIPV
    FIPV is the international federation responsible for overseeing and regulating the sport of Basque pelota worldwide.
  • C. FUM
    FUM is an abbreviation for Ferdowsi University of Mashhad, a major public research university in Mashhad, Iran.
  • D. FVR
    FVR is the commonly used initials and nickname of Fidel V. Ramos, the former President of the Philippines.
  • E. FAT
    FAT is the commonly used abbreviation for the FA Trophy, an English football knockout competition for non-league clubs.
  • 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: FMD
Triple: [Faculty of Medicine and Dentistry, hasAbbreviation, FMD]
Generated description
FMD is the commonly used abbreviation for the Faculty of Medicine and Dentistry, an academic unit that provides education and research in medical and dental sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FMD
Target entity description: FMD is the commonly used abbreviation for the Faculty of Medicine and Dentistry, an academic unit that provides education and research in medical and dental sciences.
  • A. FMD
    FMD is a Forward Multiplicity Detector used in high-energy physics experiments to measure the number and distribution of particles produced at small angles relative to the beam line.
  • B. FIPV
    FIPV is the international federation responsible for overseeing and regulating the sport of Basque pelota worldwide.
  • C. FUM
    FUM is an abbreviation for Ferdowsi University of Mashhad, a major public research university in Mashhad, Iran.
  • D. FVR
    FVR is the commonly used initials and nickname of Fidel V. Ramos, the former President of the Philippines.
  • E. FAT
    FAT is the commonly used abbreviation for the FA Trophy, an English football knockout competition for non-league clubs.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69fd2a888190a20bf18cd226a180 completed April 1, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdba8bd8c81909860d561d9d16611 completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdcae0e5c81909c50a0b53c1cf7cc completed April 3, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69cfdd6a2ba481908d66fed8f05a1297 completed April 3, 2026, 3:31 p.m.
Created at: March 30, 2026, 7:06 p.m.