Triple

T8938381
Position Surface form Disambiguated ID Type / Status
Subject Niger Armed Forces E212834 entity
Predicate abbreviation P43 FINISHED
Object FAN
FAN is the French acronym for Niger's national military, responsible for the country's defense and security operations.
 E767302 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: FAN | Statement: [Niger Armed Forces, abbreviation, FAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FAN
Context triple: [Niger Armed Forces, abbreviation, FAN]
  • A. FANK
    FANK was the acronym for the Khmer National Armed Forces, the military of the pro-U.S. Lon Nol government in Cambodia during the Cambodian Civil War.
  • B. FAN-nee
    FAN-nee is the stress pattern indicating that the primary emphasis falls on the first syllable of the name “Fannie.”
  • C. FANA
    FANA is the acronym for the Angolan Air Force, the aerial warfare branch of Angola’s armed forces.
  • D. FA
    FA is the governing body of association football in England, responsible for overseeing the national teams, competitions, and the rules of the game within the country.
  • E. FA
    FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
  • 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: FAN
Triple: [Niger Armed Forces, abbreviation, FAN]
Generated description
FAN is the French acronym for Niger's national military, responsible for the country's defense and security operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FAN
Target entity description: FAN is the French acronym for Niger's national military, responsible for the country's defense and security operations.
  • A. FANK
    FANK was the acronym for the Khmer National Armed Forces, the military of the pro-U.S. Lon Nol government in Cambodia during the Cambodian Civil War.
  • B. FAN-nee
    FAN-nee is the stress pattern indicating that the primary emphasis falls on the first syllable of the name “Fannie.”
  • C. FANA
    FANA is the acronym for the Angolan Air Force, the aerial warfare branch of Angola’s armed forces.
  • D. FA
    FA is the governing body of association football in England, responsible for overseeing the national teams, competitions, and the rules of the game within the country.
  • E. FA
    FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b57a348190979effe4f9998eb7 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1eb308c81909f5be133c75ad568 completed April 3, 2026, 1:34 p.m.
NEDg Description generation batch_69cfc24b4fe481909b7c4f58b787a21e completed April 3, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69cfc33fbedc8190a8f04ec6f43891f0 completed April 3, 2026, 1:40 p.m.
Created at: March 30, 2026, 6:58 p.m.