Triple

T12350898
Position Surface form Disambiguated ID Type / Status
Subject RFC Liège E294480 entity
Predicate hasAbbreviation P43 FINISHED
Object RFCL
RFCL is the commonly used abbreviation for RFC Liège, a historic Belgian football club based in Liège.
E977686 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: RFCL | Statement: [RFC Liège, hasAbbreviation, RFCL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RFCL
Context triple: [RFC Liège, hasAbbreviation, RFCL]
  • A. RCF
    RCF is a historic French multi-sport club based in Paris, best known for its football and rugby sections.
  • B. DRFC
    DRFC is the commonly used abbreviation for Doncaster Rovers Football Club, an English professional football team based in Doncaster, South Yorkshire.
  • C. LRCL
    LRCL is the ICAO airport code for Cluj International Airport in Cluj-Napoca, Romania.
  • D. rcf
    rcf is the ISO 639-3 language code for Réunion Creole, a French-based creole language spoken primarily on Réunion Island in the Indian Ocean.
  • E. RFEF
    RFEF is the Royal Spanish Football Federation, the main governing body for football in Spain that organizes national competitions and oversees the national teams.
  • 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: RFCL
Triple: [RFC Liège, hasAbbreviation, RFCL]
Generated description
RFCL is the commonly used abbreviation for RFC Liège, a historic Belgian football club based in Liège.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RFCL
Target entity description: RFCL is the commonly used abbreviation for RFC Liège, a historic Belgian football club based in Liège.
  • A. RCF
    RCF is a historic French multi-sport club based in Paris, best known for its football and rugby sections.
  • B. DRFC
    DRFC is the commonly used abbreviation for Doncaster Rovers Football Club, an English professional football team based in Doncaster, South Yorkshire.
  • C. LRCL
    LRCL is the ICAO airport code for Cluj International Airport in Cluj-Napoca, Romania.
  • D. rcf
    rcf is the ISO 639-3 language code for Réunion Creole, a French-based creole language spoken primarily on Réunion Island in the Indian Ocean.
  • E. RFEF
    RFEF is the Royal Spanish Football Federation, the main governing body for football in Spain that organizes national competitions and oversees the national teams.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7cbff08190849cd2aec4ce3243 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab066108190bba8eca95d3e0a81 completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62c569a6c8190aecf8a4c627d8893 completed May 2, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69f62d0c2568819083e66c8ae484d30d completed May 2, 2026, 4:57 p.m.
Created at: April 8, 2026, 9:53 p.m.