Triple
T9351921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anglesey AONB |
E225037
|
entity |
| Predicate | legalProtectionFor |
P88097
|
FINISHED |
| Object | scenic quality |
—
|
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: scenic quality | Statement: [Anglesey AONB, legalProtectionFor, scenic quality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalProtectionFor Context triple: [Anglesey AONB, legalProtectionFor, scenic quality]
-
A.
isProtectedByLawIn
Indicates that an entity is safeguarded or granted legal protection within a specified jurisdiction or legal framework.
-
B.
legalLicenseIn
Indicates that an entity holds a valid legal license or authorization to operate, practice, or conduct a specified activity within a particular jurisdiction or region.
-
C.
protectsRight
Indicates that one entity safeguards, upholds, or defends the legal or moral rights of another entity.
-
D.
legalPrivilege
Indicates that one party holds a special legal right or protection that allows them to withhold information, avoid certain obligations, or receive preferential treatment under the law in relation to another party or context.
-
E.
legalProtectionOfLanguage
Indicates that a language is safeguarded or regulated by formal legal measures, such as laws, policies, or constitutional provisions.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f93a9848190ad2ae24f2aa607d2 |
completed | April 1, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc955a38108190b602d1e73725f11b |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:41 p.m.