Triple

T7596995
Position Surface form Disambiguated ID Type / Status
Subject Cambridge University R.U.F.C. E179880 entity
Predicate alsoKnownAs P39 FINISHED
Object CURUFC
CURUFC is the rugby union club of the University of Cambridge, best known for competing in the annual Varsity Match against Oxford.
 E675505 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: CURUFC | Statement: [Cambridge University R.U.F.C., alsoKnownAs, CURUFC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CURUFC
Context triple: [Cambridge University R.U.F.C., alsoKnownAs, CURUFC]
  • A. URU
    URU is the FIFA country code used to represent the Uruguay national football team in international competitions and rankings.
  • B. Curicaueri
    Curicaueri is the principal fire and sun god of the Purépecha (Tarascan) people of western Mexico, central to their state religion and royal lineage.
  • C. Curunír
    Curunír is the original Quenya name of Saruman, a powerful but ultimately corrupted wizard in J.R.R. Tolkien’s Middle-earth legendarium.
  • D. Curan
    Curan is a small rural commune in the Aveyron department of southern France, known for its proximity to the large artificial Lac de Pareloup and its agricultural landscape.
  • E. Cursa
    Cursa is a bright star in the constellation Eridanus, often noted as one of its most prominent and easily visible members.
  • 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: CURUFC
Triple: [Cambridge University R.U.F.C., alsoKnownAs, CURUFC]
Generated description
CURUFC is the rugby union club of the University of Cambridge, best known for competing in the annual Varsity Match against Oxford.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CURUFC
Target entity description: CURUFC is the rugby union club of the University of Cambridge, best known for competing in the annual Varsity Match against Oxford.
  • A. URU
    URU is the FIFA country code used to represent the Uruguay national football team in international competitions and rankings.
  • B. Curicaueri
    Curicaueri is the principal fire and sun god of the Purépecha (Tarascan) people of western Mexico, central to their state religion and royal lineage.
  • C. Curunír
    Curunír is the original Quenya name of Saruman, a powerful but ultimately corrupted wizard in J.R.R. Tolkien’s Middle-earth legendarium.
  • D. Curan
    Curan is a small rural commune in the Aveyron department of southern France, known for its proximity to the large artificial Lac de Pareloup and its agricultural landscape.
  • E. Cursa
    Cursa is a bright star in the constellation Eridanus, often noted as one of its most prominent and easily visible members.
  • 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9d4d3408190b9650347c7850c47 completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861a3263481908a178b99e487bde5 completed March 28, 2026, 11:17 p.m.
NEDg Description generation batch_69c8622eb5fc819092273e49464d0515 completed March 28, 2026, 11:20 p.m.
NED2 Entity disambiguation (via description) batch_69c8631e5c2c8190b1c593ca9bbf039c completed March 28, 2026, 11:24 p.m.
Created at: March 27, 2026, 3:53 p.m.