Triple

T9193175
Position Surface form Disambiguated ID Type / Status
Subject First Chadian Civil War E220638 entity
Predicate significantCombatant P21502 FINISHED
Object FAN
FAN was a key rebel armed group in Chad that played a major role in the country’s internal conflicts during the late 20th century.
 E783526 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: [First Chadian Civil War, significantCombatant, FAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FAN
Context triple: [First Chadian Civil War, significantCombatant, FAN]
  • A. FAN
    FAN is the French acronym for Niger's national military, responsible for the country's defense and security operations.
  • B. 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.
  • C. FAN-nee
    FAN-nee is the stress pattern indicating that the primary emphasis falls on the first syllable of the name “Fannie.”
  • D. FANA
    FANA is the acronym for the Angolan Air Force, the aerial warfare branch of Angola’s armed forces.
  • E. 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.
  • 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: [First Chadian Civil War, significantCombatant, FAN]
Generated description
FAN was a key rebel armed group in Chad that played a major role in the country’s internal conflicts during the late 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FAN
Target entity description: FAN was a key rebel armed group in Chad that played a major role in the country’s internal conflicts during the late 20th century.
  • A. FAN
    FAN is the French acronym for Niger's national military, responsible for the country's defense and security operations.
  • B. 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.
  • C. FAN-nee
    FAN-nee is the stress pattern indicating that the primary emphasis falls on the first syllable of the name “Fannie.”
  • D. FANA
    FANA is the acronym for the Angolan Air Force, the aerial warfare branch of Angola’s armed forces.
  • E. 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.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5c1fa9c8190bc5cc6dce8778694 completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c2bb2c481909db8c223aececf37 completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05d4ec9d48190bb425fe0449f4bf2 completed April 4, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69d05dde94f08190aec82aa680ca0dce completed April 4, 2026, 12:39 a.m.
Created at: March 30, 2026, 7:24 p.m.