Triple

T7828198
Position Surface form Disambiguated ID Type / Status
Subject Football Association of Malaysia E181298 entity
Predicate shortName P43 FINISHED
Object FAM
FAM is the national governing body responsible for overseeing and developing football in Malaysia.
 E695331 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: [Football Association of Malaysia, shortName, FAM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FAM
Context triple: [Football Association of Malaysia, shortName, FAM]
  • A. FAM
    FAM is the acronym commonly used to refer to the Mexican Air Force, the aerial warfare branch of Mexico’s armed forces.
  • B. FAMO
    FAMO was a German vehicle manufacturer best known for producing military half-tracks and armored vehicles for the Wehrmacht during World War II.
  • C. FAM AB
    FAM AB is a Swedish investment company that manages and develops long-term holdings on behalf of the Wallenberg family.
  • D. FAMa
    FAMa is the national military force of Mali responsible for the country’s defense and security operations.
  • E. FAMET
    FAMET is the Spanish Army’s aviation branch responsible for operating and supporting its helicopter and air mobility units.
  • 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: [Football Association of Malaysia, shortName, FAM]
Generated description
FAM is the national governing body responsible for overseeing and developing football in Malaysia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FAM
Target entity description: FAM is the national governing body responsible for overseeing and developing football in Malaysia.
  • A. FAM
    FAM is the acronym commonly used to refer to the Mexican Air Force, the aerial warfare branch of Mexico’s armed forces.
  • B. FAMO
    FAMO was a German vehicle manufacturer best known for producing military half-tracks and armored vehicles for the Wehrmacht during World War II.
  • C. FAM AB
    FAM AB is a Swedish investment company that manages and develops long-term holdings on behalf of the Wallenberg family.
  • D. FAMa
    FAMa is the national military force of Mali responsible for the country’s defense and security operations.
  • E. FAMET
    FAMET is the Spanish Army’s aviation branch responsible for operating and supporting its helicopter and air mobility units.
  • 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_69ca8282ccec819083c48efb72d21cf9 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb04a97d748190b1924890b1328bf1 completed March 30, 2026, 11:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb14b60ea88190887cb33a484d0806 completed March 31, 2026, 12:26 a.m.
NEDg Description generation batch_69cb1734e5d88190a3d894199ee2fbfe completed March 31, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69cb1a6fc16c8190827593f58b9d742d completed March 31, 2026, 12:50 a.m.
Created at: March 30, 2026, 4:43 p.m.