Triple

T6850668
Position Surface form Disambiguated ID Type / Status
Subject Victoria Racing Club E158005 entity
Predicate alsoKnownAs P39 FINISHED
Object VRC
VRC is the commonly used abbreviation for the Victoria Racing Club, the principal horse racing club based at Flemington Racecourse in Melbourne, Australia.
 E623646 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: VRC | Statement: [Victoria Racing Club, alsoKnownAs, VRC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VRC
Context triple: [Victoria Racing Club, alsoKnownAs, VRC]
  • A. VIR
    VIR is the ICAO airline designator used to identify Virgin Atlantic in international aviation operations.
  • B. .vc
    .vc is the country code top-level domain (ccTLD) assigned to Saint Vincent and the Grenadines, often also used creatively for various commercial and personal websites.
  • C. VRA
    VRA is the common abbreviation for the landmark U.S. federal law enacted in 1965 to prohibit racial discrimination in voting.
  • D. VMC
    VMC is the Venus Monitoring Camera, a wide-angle imaging instrument on the European Space Agency’s Venus Express spacecraft used to study Venus’s atmosphere and cloud dynamics.
  • E. VU
    VU is a major research university in Amsterdam, Netherlands, known for its wide range of academic programs and emphasis on interdisciplinary and socially engaged scholarship.
  • 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: VRC
Triple: [Victoria Racing Club, alsoKnownAs, VRC]
Generated description
VRC is the commonly used abbreviation for the Victoria Racing Club, the principal horse racing club based at Flemington Racecourse in Melbourne, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VRC
Target entity description: VRC is the commonly used abbreviation for the Victoria Racing Club, the principal horse racing club based at Flemington Racecourse in Melbourne, Australia.
  • A. VIR
    VIR is the ICAO airline designator used to identify Virgin Atlantic in international aviation operations.
  • B. .vc
    .vc is the country code top-level domain (ccTLD) assigned to Saint Vincent and the Grenadines, often also used creatively for various commercial and personal websites.
  • C. VRA
    VRA is the common abbreviation for the landmark U.S. federal law enacted in 1965 to prohibit racial discrimination in voting.
  • D. VMC
    VMC is the Venus Monitoring Camera, a wide-angle imaging instrument on the European Space Agency’s Venus Express spacecraft used to study Venus’s atmosphere and cloud dynamics.
  • E. VU
    VU is a major research university in Amsterdam, Netherlands, known for its wide range of academic programs and emphasis on interdisciplinary and socially engaged scholarship.
  • 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d84c45708190918adfc028252400 completed March 27, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fd2800c8190997c0bc7ff3e1491 completed March 28, 2026, 1:33 a.m.
NEDg Description generation batch_69c73208e9408190b246837c0e436575 completed March 28, 2026, 1:42 a.m.
NED2 Entity disambiguation (via description) batch_69c7326b04ac8190a700061e6546cb50 completed March 28, 2026, 1:44 a.m.
Created at: March 27, 2026, 2:20 p.m.