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.