Triple
T20491771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bournemouth Symphony Orchestra |
E502761
|
entity |
| Predicate | BSOResoundLaunchYear |
P140296
|
FINISHED |
| Object | 2018 |
—
|
LITERAL 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: 2018 | Statement: [Bournemouth Symphony Orchestra, BSOResoundLaunchYear, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BSOResoundLaunchYear Context triple: [Bournemouth Symphony Orchestra, BSOResoundLaunchYear, 2018]
-
A.
soundtrackReleaseYear
Indicates the year in which a soundtrack was released.
-
B.
compilationYear
Indicates the year in which a work, collection, or set of materials was compiled or assembled into its final form.
-
C.
usReleaseYear
Indicates the calendar year in which something was released in the United States.
-
D.
deploymentYear
Indicates the calendar year in which an entity (such as a system, product, or resource) was first put into active use or operation.
-
E.
releaseYearOfSource
Indicates the year in which the original source material associated with an item was first released.
- F. None of above. chosen
Provenance (4 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cba5b708190bef437acf6321b81 |
completed | April 20, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:35 a.m.