Triple
T2552424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Gun Carriage of the Royal Navy |
E56655
|
entity |
| Predicate | usedOnOccasionOf |
P37361
|
FINISHED |
| Object | death of a reigning British monarch |
—
|
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: death of a reigning British monarch | Statement: [State Gun Carriage of the Royal Navy, usedOnOccasionOf, death of a reigning British monarch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedOnOccasionOf Context triple: [State Gun Carriage of the Royal Navy, usedOnOccasionOf, death of a reigning British monarch]
-
A.
usedOnOccasions
chosen
Indicates that something is employed or utilized during specific events, times, or circumstances rather than continuously.
-
B.
displayOccasion
Indicates the event, context, or situation during which something is presented, shown, or made visible.
-
C.
servingOccasion
Indicates the occasion, event, or context during which something (typically food or drink) is served.
-
D.
primaryOccasion
Indicates that one occasion is the main or most significant event associated with a given context, entity, or activity.
-
E.
usedOn
Indicates that one entity is applied to, operated on, or otherwise utilized in relation to another entity.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd5a33234819082ad49fa6594b6be |
completed | March 7, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69abd0c8b6f08190a68645db3e8b779a |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.