Triple
T26251372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawford |
E656597
|
entity |
| Predicate | designationContext |
P171749
|
FINISHED |
| Object | Area of Outstanding Natural Beauty |
—
|
NE NERFINISHED |
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: Area of Outstanding Natural Beauty | Statement: [Lawford, designationContext, Area of Outstanding Natural Beauty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designationContext Context triple: [Lawford, designationContext, Area of Outstanding Natural Beauty]
-
A.
designationType
Indicates the specific category or kind of formal status, title, or label that has been assigned in a designation relationship.
-
B.
designationFor
Indicates that one entity serves as the official title, label, or role name assigned to another entity.
-
C.
designationCategory
Indicates the classification or type of designation assigned to an entity within a broader designation system.
-
D.
designationComponent
Indicates that one entity functions as a component or constituent part of another entity’s designation or formal naming.
-
E.
designationUse
Indicates how a particular designation or title is intended to be used or applied in relation to an entity.
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a28b8ea881908733485374771c51 |
completed | May 3, 2026, 1:19 a.m. |
Created at: April 26, 2026, 9:07 p.m.