Triple

T18424517
Position Surface form Disambiguated ID Type / Status
Subject Togolese Air Force E442101 entity
Predicate abbreviation P43 FINISHED
Object FAT
FAT is the acronym for the Togolese Air Force, the aerial warfare branch of Togo’s military.
 E1324030 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: FAT | Statement: [Togolese Air Force, abbreviation, FAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FAT
Context triple: [Togolese Air Force, abbreviation, FAT]
  • A. FAT
    FAT is the commonly used abbreviation for the FA Trophy, an English football knockout competition for non-league clubs.
  • B. FAT
    FAT (File Allocation Table) is an older, simple file system commonly used on removable storage devices and supported by many operating systems, but lacking advanced features like built-in encryption and journaling.
  • C. FAT
    FAT is the three-letter IATA airport code for Fresno Yosemite International Airport in Fresno, California.
  • D. FAD
    FAD is the Faculty of Arts and Design at the University of Canberra, offering creative and humanities-focused education and research programs.
  • E. FAD
    FAD is the ICAO airline designator assigned to flyadeal, a Saudi Arabian low-cost carrier based in Jeddah.
  • 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: FAT
Triple: [Togolese Air Force, abbreviation, FAT]
Generated description
FAT is the acronym for the Togolese Air Force, the aerial warfare branch of Togo’s military.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FAT
Target entity description: FAT is the acronym for the Togolese Air Force, the aerial warfare branch of Togo’s military.
  • A. FAT
    FAT is the commonly used abbreviation for the FA Trophy, an English football knockout competition for non-league clubs.
  • B. FAT
    FAT is the three-letter IATA airport code for Fresno Yosemite International Airport in Fresno, California.
  • C. FAT
    FAT (File Allocation Table) is an older, simple file system commonly used on removable storage devices and supported by many operating systems, but lacking advanced features like built-in encryption and journaling.
  • D. FAD
    FAD is the ICAO airline designator assigned to flyadeal, a Saudi Arabian low-cost carrier based in Jeddah.
  • E. FAD
    FAD is the Faculty of Arts and Design at the University of Canberra, offering creative and humanities-focused education and research programs.
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51b1149788190ad7c453547a6e07c completed April 19, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03f0a9d0a08190a78610499b1372c9 completed May 13, 2026, 3:31 a.m.
NEDg Description generation batch_6a03f21c622c81909f34f0d3da0c4491 completed May 13, 2026, 3:38 a.m.
NED2 Entity disambiguation (via description) batch_6a03f356e48c81908d74414b736303a4 completed May 13, 2026, 3:43 a.m.
Created at: April 10, 2026, 10:47 a.m.