Triple

T13756675
Position Surface form Disambiguated ID Type / Status
Subject No. 2 Group E330492 entity
Predicate abbreviation P43 FINISHED
Object 2 Gp
2 Gp is the abbreviated designation for No. 2 Group, a formation of the Royal Air Force historically associated with tactical air operations.
E1059029 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: 2 Gp | Statement: [No. 2 Group, abbreviation, 2 Gp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 2 Gp
Context triple: [No. 2 Group, abbreviation, 2 Gp]
  • A. G.P.
    G.P. is an Australian television drama series best known for its portrayal of the professional and personal lives of doctors in a suburban general medical practice.
  • B. G2
    G2 is a central Glasgow, Scotland postcode district covering parts of the city’s commercial and business core, including areas like Garnethill.
  • C. GPP
    GPP is the parliamentary group of Spain’s conservative People’s Party in the Senate.
  • D. GPP
    GPP is a fictional technology from Douglas Adams' "The Hitchhiker's Guide to the Galaxy" universe that endows machines with human-like personalities and emotions.
  • E. GP
    GP is the vehicle registration code used on license plates for the German town and district of Göppingen in the state of Baden-Württemberg.
  • 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: 2 Gp
Triple: [No. 2 Group, abbreviation, 2 Gp]
Generated description
2 Gp is the abbreviated designation for No. 2 Group, a formation of the Royal Air Force historically associated with tactical air operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 2 Gp
Target entity description: 2 Gp is the abbreviated designation for No. 2 Group, a formation of the Royal Air Force historically associated with tactical air operations.
  • A. G.P.
    G.P. is an Australian television drama series best known for its portrayal of the professional and personal lives of doctors in a suburban general medical practice.
  • B. G2
    G2 is a central Glasgow, Scotland postcode district covering parts of the city’s commercial and business core, including areas like Garnethill.
  • C. GPP
    GPP is the parliamentary group of Spain’s conservative People’s Party in the Senate.
  • D. GPP
    GPP is a fictional technology from Douglas Adams' "The Hitchhiker's Guide to the Galaxy" universe that endows machines with human-like personalities and emotions.
  • E. GP
    A Gaussian process (GP) is a probabilistic model that defines a distribution over functions, widely used in machine learning and statistics for regression, classification, and Bayesian optimization.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de022286b481908f8a801042743512 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a859e6748190aa1899830a02b710 completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7a91edc288190a95079e3ca11cfa7 completed May 3, 2026, 7:59 p.m.
NED2 Entity disambiguation (via description) batch_69f7a9c3c6548190802e1163c9c35b67 completed May 3, 2026, 8:02 p.m.
Created at: April 9, 2026, 10:09 p.m.