Triple

T4752658
Position Surface form Disambiguated ID Type / Status
Subject Mexican Air Force E105513 entity
Predicate shortName P43 FINISHED
Object FAM
FAM is the acronym commonly used to refer to the Mexican Air Force, the aerial warfare branch of Mexico’s armed forces.
 E467424 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: FAM | Statement: [Mexican Air Force, shortName, FAM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FAM
Context triple: [Mexican Air Force, shortName, FAM]
  • A. FAMO
    FAMO was a German vehicle manufacturer best known for producing military half-tracks and armored vehicles for the Wehrmacht during World War II.
  • B. FAMa
    FAMa is the national military force of Mali responsible for the country’s defense and security operations.
  • C. FAMET
    FAMET is the Spanish Army’s aviation branch responsible for operating and supporting its helicopter and air mobility units.
  • D. FAMS
    FAMS is the Federal Air Marshal Service, a U.S. law enforcement agency that deploys armed marshals on commercial flights to deter and respond to aviation-related threats.
  • E. Famo
    Famo is a traditional Basotho music genre known for its accordion-driven melodies, poetic lyrics, and strong cultural and social commentary in Lesotho and surrounding regions.
  • 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: FAM
Triple: [Mexican Air Force, shortName, FAM]
Generated description
FAM is the acronym commonly used to refer to the Mexican Air Force, the aerial warfare branch of Mexico’s armed forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FAM
Target entity description: FAM is the acronym commonly used to refer to the Mexican Air Force, the aerial warfare branch of Mexico’s armed forces.
  • A. FAMO
    FAMO was a German vehicle manufacturer best known for producing military half-tracks and armored vehicles for the Wehrmacht during World War II.
  • B. FAMa
    FAMa is the national military force of Mali responsible for the country’s defense and security operations.
  • C. FAMET
    FAMET is the Spanish Army’s aviation branch responsible for operating and supporting its helicopter and air mobility units.
  • D. FAMS
    FAMS is the Federal Air Marshal Service, a U.S. law enforcement agency that deploys armed marshals on commercial flights to deter and respond to aviation-related threats.
  • E. Famo
    Famo is a traditional Basotho music genre known for its accordion-driven melodies, poetic lyrics, and strong cultural and social commentary in Lesotho and surrounding regions.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64e5fba88190b1f28d1b0eed3f8e completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a5ddf088190892d31275adb39ba completed March 21, 2026, 6:27 a.m.
NEDg Description generation batch_69be3d05e8a081908cdcb37620078fa6 completed March 21, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_69be3daa7e0081908971df65613c9df6 completed March 21, 2026, 6:41 a.m.
Created at: March 20, 2026, 1:20 p.m.