Triple

T17057663
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Control and Applied Mathematics E413866 entity
Predicate abbreviation P43 FINISHED
Object FPMI
FPMI is a university faculty specializing in control theory, applied mathematics, and related technical disciplines.
 E1248600 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: FPMI | Statement: [Faculty of Control and Applied Mathematics, abbreviation, FPMI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FPMI
Context triple: [Faculty of Control and Applied Mathematics, abbreviation, FPMI]
  • A. FPM
    FPM is the Fellow Programme in Management, a doctoral-level research program in management studies offered by the Indian Institutes of Management.
  • B. FAPSI
    FAPSI was a Russian government agency responsible for signals intelligence, secure communications, and information security, functioning as a successor to parts of the Soviet KGB.
  • C. FPA
    FPA is the Finnish acronym for the Social Insurance Institution of Finland, the national agency responsible for administering Finland’s social security benefits.
  • D. FMI
    FMI is the vehicle registration code assigned to the town of Międzyrzecz in western Poland.
  • E. FAPM
    FAPM is the ICAO airport code for Pietermaritzburg Airport in Pietermaritzburg, South Africa.
  • 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: FPMI
Triple: [Faculty of Control and Applied Mathematics, abbreviation, FPMI]
Generated description
FPMI is a university faculty specializing in control theory, applied mathematics, and related technical disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FPMI
Target entity description: FPMI is a university faculty specializing in control theory, applied mathematics, and related technical disciplines.
  • A. FPM
    FPM is the Fellow Programme in Management, a doctoral-level research program in management studies offered by the Indian Institutes of Management.
  • B. FAPSI
    FAPSI was a Russian government agency responsible for signals intelligence, secure communications, and information security, functioning as a successor to parts of the Soviet KGB.
  • C. FPA
    FPA is the Finnish acronym for the Social Insurance Institution of Finland, the national agency responsible for administering Finland’s social security benefits.
  • D. FMI
    FMI is the vehicle registration code assigned to the town of Międzyrzecz in western Poland.
  • E. FAPM
    FAPM is the ICAO airport code for Pietermaritzburg Airport in Pietermaritzburg, South Africa.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db7b553c81908ec70ba0d0988710 completed April 18, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012349b2c88190a5c5e06a5cae1ac5 completed May 11, 2026, 12:31 a.m.
NEDg Description generation batch_6a012585a1548190a112f55e2d84ccac completed May 11, 2026, 12:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0126536c348190b9b2eadb4969f8c2 completed May 11, 2026, 12:44 a.m.
Created at: April 10, 2026, 5:34 a.m.