Triple

T21791160
Position Surface form Disambiguated ID Type / Status
Subject Lebanese Football Association E537973 entity
Predicate shortName P43 FINISHED
Object LFA
LFA is the commonly used abbreviation for the Lebanese Football Association, the governing body of football in Lebanon.
 E1502451 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: LFA | Statement: [Lebanese Football Association, shortName, LFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LFA
Context triple: [Lebanese Football Association, shortName, LFA]
  • A. LFA
    LFA is the governing body responsible for overseeing and organizing football activities and competitions in Liberia.
  • B. LAF
    LAF is the IATA airport code for Purdue University Airport, a public airport serving West Lafayette, Indiana, and the surrounding region.
  • C. LAF
    LAF is the acronym commonly used to refer to the Lithuanian Armed Forces, the military organization responsible for Lithuania’s national defense.
  • D. LAF
    The Lebanese Armed Forces (LAF) are the military institution of Lebanon, responsible for defending the country’s sovereignty, maintaining internal security, and operating under a delicate sectarian balance.
  • E. LLFPA
    LLFPA is a U.S. federal law that strengthens workers’ ability to challenge pay discrimination by resetting the statute of limitations with each discriminatory paycheck.
  • 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: LFA
Triple: [Lebanese Football Association, shortName, LFA]
Generated description
LFA is the commonly used abbreviation for the Lebanese Football Association, the governing body of football in Lebanon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LFA
Target entity description: LFA is the commonly used abbreviation for the Lebanese Football Association, the governing body of football in Lebanon.
  • A. LFA
    LFA is the governing body responsible for overseeing and organizing football activities and competitions in Liberia.
  • B. LAF
    LAF is the IATA airport code for Purdue University Airport, a public airport serving West Lafayette, Indiana, and the surrounding region.
  • C. LAF
    The Lebanese Armed Forces (LAF) are the military institution of Lebanon, responsible for defending the country’s sovereignty, maintaining internal security, and operating under a delicate sectarian balance.
  • D. LAF
    LAF is the acronym commonly used to refer to the Lithuanian Armed Forces, the military organization responsible for Lithuania’s national defense.
  • E. LLFPA
    LLFPA is a U.S. federal law that strengthens workers’ ability to challenge pay discrimination by resetting the statute of limitations with each discriminatory paycheck.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0621f95cc8190a3e8619fbf29555a completed April 28, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3e74f3b8819099c9b8565afb5e2e completed May 17, 2026, 10:17 p.m.
NEDg Description generation batch_6a0a401ceb748190a4718ea4bc7ece45 completed May 17, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_6a0a40bc29fc8190b082a1f86b2c4907 completed May 17, 2026, 10:27 p.m.
Created at: April 16, 2026, 6:52 p.m.