Triple

T3259202
Position Surface form Disambiguated ID Type / Status
Subject Royal Moroccan Air Force E68369 entity
Predicate abbreviation P43 FINISHED
Object FRA
FRA is the standard abbreviation used to refer to the Royal Moroccan Air Force, the aerial warfare branch of Morocco’s armed forces.
 E341652 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: FRA | Statement: [Royal Moroccan Air Force, abbreviation, FRA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FRA
Context triple: [Royal Moroccan Air Force, abbreviation, FRA]
  • A. FRA
    FRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies France in international standards and data systems.
  • B. FRA
    FRA is the United States government agency responsible for regulating and overseeing the nation’s railroad safety, infrastructure, and operations.
  • C. FRD
    FRD is the station code for a railway station named after U.S. President Franklin D. Roosevelt.
  • D. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • E. FRS
    FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
  • 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: FRA
Triple: [Royal Moroccan Air Force, abbreviation, FRA]
Generated description
FRA is the standard abbreviation used to refer to the Royal Moroccan Air Force, the aerial warfare branch of Morocco’s armed forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FRA
Target entity description: FRA is the standard abbreviation used to refer to the Royal Moroccan Air Force, the aerial warfare branch of Morocco’s armed forces.
  • A. FRA
    FRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies France in international standards and data systems.
  • B. FRA
    FRA is the United States government agency responsible for regulating and overseeing the nation’s railroad safety, infrastructure, and operations.
  • C. FRD
    FRD is the station code for a railway station named after U.S. President Franklin D. Roosevelt.
  • D. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • E. FRS
    FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adafa4f40c81909adfd0f7f568e3ce completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ed941cc81909c35853e793d6ce5 completed March 12, 2026, 10 a.m.
NEDg Description generation batch_69b2900805d08190afbda5ee5e984b71 completed March 12, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_69b2ac4c52d48190a87b1e535c2e8a37 completed March 12, 2026, 12:06 p.m.
Created at: March 8, 2026, 3:09 p.m.