Triple
T14425259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Park (United Kingdom) |
E357679
|
entity |
| Predicate | hasCoreObjective |
P107597
|
FINISHED |
| Object | conserve and enhance natural beauty |
—
|
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: conserve and enhance natural beauty | Statement: [National Park (United Kingdom), hasCoreObjective, conserve and enhance natural beauty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoreObjective Context triple: [National Park (United Kingdom), hasCoreObjective, conserve and enhance natural beauty]
-
A.
hasCoreMission
Indicates that an entity possesses a primary, central mission or fundamental purpose that defines its main focus or reason for existence.
-
B.
hasPrimaryGoal
Indicates that an entity’s main or most important objective is the specified goal.
-
C.
coreGoalTaught
Indicates that a fundamental or primary goal is explicitly taught or conveyed to someone.
-
D.
hasCoreAim
chosen
Indicates that something possesses a primary, central objective or purpose that guides its overall direction or activity.
-
E.
hasCurriculumGoal
Indicates that an educational curriculum includes or is associated with a specific intended learning goal or objective.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91123f848190ba3fb18a76c2d24c |
completed | April 14, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.