Triple

T6614562
Position Surface form Disambiguated ID Type / Status
Subject Liga Nacional de Fútbol Profesional E149316 entity
Predicate abbreviation P43 FINISHED
Object LNFP
LNFP is the commonly used abbreviation for Spain’s top professional football league organizer, the Liga Nacional de Fútbol Profesional (La Liga).
 E601034 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: LNFP | Statement: [Liga Nacional de Fútbol Profesional, abbreviation, LNFP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LNFP
Context triple: [Liga Nacional de Fútbol Profesional, abbreviation, LNFP]
  • A. LFPB
    LFPB is the ICAO airport code for Paris–Le Bourget Airport, a historic airfield near Paris known for business aviation and the Paris Air Show.
  • B. FZNP
    FZNP is the ICAO airport code for Beni Airport, a regional airfield serving the city of Beni in the Democratic Republic of the Congo.
  • C. Nfk
    Nfk is the standard postal abbreviation used for the English county of Norfolk.
  • D. Nfk
    Nfk is the currency symbol used to denote the Eritrean nakfa, the official monetary unit of Eritrea.
  • 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: LNFP
Triple: [Liga Nacional de Fútbol Profesional, abbreviation, LNFP]
Generated description
LNFP is the commonly used abbreviation for Spain’s top professional football league organizer, the Liga Nacional de Fútbol Profesional (La Liga).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LNFP
Target entity description: LNFP is the commonly used abbreviation for Spain’s top professional football league organizer, the Liga Nacional de Fútbol Profesional (La Liga).
  • A. LFPB
    LFPB is the ICAO airport code for Paris–Le Bourget Airport, a historic airfield near Paris known for business aviation and the Paris Air Show.
  • B. FZNP
    FZNP is the ICAO airport code for Beni Airport, a regional airfield serving the city of Beni in the Democratic Republic of the Congo.
  • C. Nfk
    Nfk is the standard postal abbreviation used for the English county of Norfolk.
  • D. Nfk
    Nfk is the currency symbol used to denote the Eritrean nakfa, the official monetary unit of Eritrea.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af569ecc8190a9526decc745f0a0 completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbd651c08190a19513645fc781c9 completed March 27, 2026, 6:26 p.m.
NEDg Description generation batch_69c6cd89b51c81909ea17d391732630e completed March 27, 2026, 6:33 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce70442c8190a12a6c6eb76c5269 completed March 27, 2026, 6:37 p.m.
Created at: March 27, 2026, 1:57 p.m.