Triple
T23117149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke of Edinburgh |
E576786
|
entity |
| Predicate | canBeRecreated |
P150969
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Duke of Edinburgh, canBeRecreated, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeRecreated Context triple: [Duke of Edinburgh, canBeRecreated, yes]
-
A.
canBeReissued
Indicates that something is eligible to be issued again, such as a document, license, or item that can be re-granted or re-produced after its initial issuance.
-
B.
canRegenerate
Indicates that an entity has the ability to regrow or restore lost or damaged parts of itself.
-
C.
intendedToRecreate
Indicates that one entity was created or performed with the purpose of reproducing, imitating, or restoring the characteristics, state, or effect of another entity.
-
D.
supportsRecreationAt
Indicates that one entity provides facilities, conditions, or resources that enable recreational activities to take place at a specified location.
-
E.
canBeReconfigured
Indicates that one entity has the capability to be altered, adjusted, or rearranged into a different configuration, typically under certain conditions or using specific methods.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e4d095081908bad99fab6eaadd0 |
completed | April 29, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69ef89f020588190b43393e048e7eda3 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:59 p.m.