Triple

T19431537
Position Surface form Disambiguated ID Type / Status
Subject Valenciennes FC E486124 entity
Predicate nickname P55 FINISHED
Object VAFC
VAFC is the commonly used abbreviation for Valenciennes FC, a French professional football club based in Valenciennes.
E1375440 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: VAFC | Statement: [Valenciennes FC, nickname, VAFC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VAFC
Context triple: [Valenciennes FC, nickname, VAFC]
  • A. VFA
    VFA is the commonly used abbreviation for the Victorian Football Association, a historic Australian rules football competition based in the state of Victoria.
  • B. FAFC
    FAFC is the common abbreviation for Forfar Athletic Football Club, a Scottish professional football team based in the town of Forfar.
  • C. AVFC
    AVFC is the commonly used abbreviation for Aston Villa Football Club, a professional football team based in Birmingham, England that competes in the Premier League.
  • D. FVHA
    FVHA is the ICAO airport code for Robert Gabriel Mugabe International Airport in Harare, Zimbabwe.
  • E. FAWC
    FAWC is a renowned residency and arts organization in Provincetown, Massachusetts, that supports emerging writers and visual artists through fellowships, exhibitions, and public programs.
  • 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: VAFC
Triple: [Valenciennes FC, nickname, VAFC]
Generated description
VAFC is the commonly used abbreviation for Valenciennes FC, a French professional football club based in Valenciennes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VAFC
Target entity description: VAFC is the commonly used abbreviation for Valenciennes FC, a French professional football club based in Valenciennes.
  • A. VFA
    VFA is the commonly used abbreviation for the Victorian Football Association, a historic Australian rules football competition based in the state of Victoria.
  • B. FAFC
    FAFC is the common abbreviation for Forfar Athletic Football Club, a Scottish professional football team based in the town of Forfar.
  • C. AVFC
    AVFC is the commonly used abbreviation for Aston Villa Football Club, a professional football team based in Birmingham, England that competes in the Premier League.
  • D. FVHA
    FVHA is the ICAO airport code for Robert Gabriel Mugabe International Airport in Harare, Zimbabwe.
  • E. FAWC
    FAWC is a renowned residency and arts organization in Provincetown, Massachusetts, that supports emerging writers and visual artists through fellowships, exhibitions, and public programs.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6335b4e388190913ded15ad165b7b completed April 20, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733db04a481909405391fdb2eee32 completed May 15, 2026, 2:55 p.m.
NEDg Description generation batch_6a0734c0a8588190904537467c581442 completed May 15, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_6a073545b2e48190a8cb78cb25785017 completed May 15, 2026, 3:01 p.m.
Created at: April 10, 2026, 1:37 p.m.