Triple
T7156247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal International Air Tattoo |
E166817
|
entity |
| Predicate | canceledInYear |
P26460
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [Royal International Air Tattoo, canceledInYear, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canceledInYear Context triple: [Royal International Air Tattoo, canceledInYear, 2008]
-
A.
cancellationYear
chosen
Indicates the year in which something (such as an event, contract, or service) was officially canceled or terminated.
-
B.
canceledRallyYear
Indicates the year in which a planned rally or gathering was canceled.
-
C.
canceledBy
Indicates that an action, event, or agreement was annulled or called off by a specific entity.
-
D.
cancels
Indicates that one entity invalidates, nullifies, or stops the effect, operation, or scheduled occurrence of another entity or action.
-
E.
claimedYear
Indicates the year that is asserted or reported as being associated with an event, status, or fact, regardless of whether it is verified.
- F. None of above.
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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e80dafdc8190b24863b83f084d12 |
completed | March 27, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69c6e1caf4e48190b47bb398a3c1554d |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:47 p.m.