Triple
T12786501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Barts |
E305640
|
entity |
| Predicate | associatedTLD |
P248
|
FINISHED |
| Object | .gp |
E96756
|
NE FINISHED |
How this triple was built (2 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: .gp | Statement: [Saint Barts, associatedTLD, .gp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: .gp Context triple: [Saint Barts, associatedTLD, .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.
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.
-
C.
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.
-
D.
GP
chosen
GP is the two-letter ISO 3166-1 alpha-2 country code assigned to Guadeloupe.
-
E.
GP
GP is the 1973 debut solo album by American singer-songwriter Gram Parsons, often hailed as a landmark recording in the development of country rock.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96facb2d48190bc12efc00c9da360 |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6850703948190984acf9e434cd2a7 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:29 p.m.