Triple

T7028535
Position Surface form Disambiguated ID Type / Status
Subject Victorian Football Association E163211 entity
Predicate shortName P43 FINISHED
Object VFA
VFA is the commonly used abbreviation for the Victorian Football Association, a historic Australian rules football competition based in the state of Victoria.
 E637609 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: VFA | Statement: [Victorian Football Association, shortName, VFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VFA
Context triple: [Victorian Football Association, shortName, VFA]
  • A. VCFA
    VCFA is a low-residency graduate arts college in Montpelier, Vermont, offering MFA and other advanced programs in disciplines such as writing, visual art, and music composition.
  • B. VF
    VF is the IATA airline designator assigned to AJet, a Turkish low-cost carrier.
  • C. VEF
    VEF was the ISO 4217 currency code for the Venezuelan bolívar used before its redenomination to the bolívar soberano.
  • D. FVMV
    FVMV is the ICAO airport code for Masvingo Airport in Masvingo, Zimbabwe.
  • E. FV
    FV is the IATA airline designator assigned to Rossiya Airlines, a Russian carrier based in Saint Petersburg.
  • 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: VFA
Triple: [Victorian Football Association, shortName, VFA]
Generated description
VFA is the commonly used abbreviation for the Victorian Football Association, a historic Australian rules football competition based in the state of Victoria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VFA
Target entity description: VFA is the commonly used abbreviation for the Victorian Football Association, a historic Australian rules football competition based in the state of Victoria.
  • A. VCFA
    VCFA is a low-residency graduate arts college in Montpelier, Vermont, offering MFA and other advanced programs in disciplines such as writing, visual art, and music composition.
  • B. VF
    VF is the IATA airline designator assigned to AJet, a Turkish low-cost carrier.
  • C. VEF
    VEF was the ISO 4217 currency code for the Venezuelan bolívar used before its redenomination to the bolívar soberano.
  • D. FVMV
    FVMV is the ICAO airport code for Masvingo Airport in Masvingo, Zimbabwe.
  • E. FV
    FV is the IATA airline designator assigned to Rossiya Airlines, a Russian carrier based in Saint Petersburg.
  • 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_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e200ecdc819098ca07473dfb272a completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7758c87908190bd1ddcfdccc171b5 completed March 28, 2026, 6:30 a.m.
NEDg Description generation batch_69c77a01c7b48190b022c6d2ecda7488 completed March 28, 2026, 6:49 a.m.
NED2 Entity disambiguation (via description) batch_69c77a83ed8881908907bedcf6d6ea84 completed March 28, 2026, 6:51 a.m.
Created at: March 27, 2026, 2:35 p.m.