Triple

T4242820
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Economics and Business, University of Groningen E95454 entity
Predicate hasAbbreviation P43 FINISHED
Object FEB
FEB is the Faculty of Economics and Business at the University of Groningen, offering education and research in economics, business, and related fields.
 E425307 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: FEB | Statement: [Faculty of Economics and Business, University of Groningen, hasAbbreviation, FEB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FEB
Context triple: [Faculty of Economics and Business, University of Groningen, hasAbbreviation, FEB]
  • A. February
    February is the second month of the year in both the Julian and Gregorian calendars, typically having 28 days and 29 in leap years.
  • B. F82
    F82 is the pennant number assigned to HMS Sikh, a British Royal Navy Tribal-class destroyer that served during the Second World War.
  • C. FAB
    FAB is the acronym for the Brazilian Air Force, the aerial warfare branch of Brazil’s armed forces.
  • D. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • E. BF
    BF is the IATA airline designator for French Bee, a French low-cost long-haul carrier.
  • 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: FEB
Triple: [Faculty of Economics and Business, University of Groningen, hasAbbreviation, FEB]
Generated description
FEB is the Faculty of Economics and Business at the University of Groningen, offering education and research in economics, business, and related fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FEB
Target entity description: FEB is the Faculty of Economics and Business at the University of Groningen, offering education and research in economics, business, and related fields.
  • A. February
    February is the second month of the year in both the Julian and Gregorian calendars, typically having 28 days and 29 in leap years.
  • B. F82
    F82 is the pennant number assigned to HMS Sikh, a British Royal Navy Tribal-class destroyer that served during the Second World War.
  • C. FAB
    FAB is the acronym for the Brazilian Air Force, the aerial warfare branch of Brazil’s armed forces.
  • D. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • E. BF
    BF is the IATA airline designator for French Bee, a French low-cost long-haul carrier.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e891bc08190831187da4f553f48 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a872fd6881908a3fbe37e7c35c92 completed March 14, 2026, 6:26 p.m.
NEDg Description generation batch_69b5a8e024a081909e7ecbe969793281 completed March 14, 2026, 6:28 p.m.
NED2 Entity disambiguation (via description) batch_69b5acefd1f881908226ff68a741552b completed March 14, 2026, 6:46 p.m.
Created at: March 12, 2026, 11:05 p.m.