Triple
T5482990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walcot Hall, Shropshire |
E123509
|
entity |
| Predicate | hasParkAndGardenGrade |
P64297
|
FINISHED |
| Object | Grade II |
—
|
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: Grade II | Statement: [Walcot Hall, Shropshire, hasParkAndGardenGrade, Grade II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParkAndGardenGrade Context triple: [Walcot Hall, Shropshire, hasParkAndGardenGrade, Grade II]
-
A.
hasParkArea
Indicates that an entity includes or is associated with a designated park or recreational area within its boundaries.
-
B.
containsGarden
Indicates that one entity includes or has a garden within its area or boundaries.
-
C.
hasTypeOfPark
Indicates that an entity is associated with or classified by a specific type or category of park.
-
D.
parkType
Indicates the specific category or classification of a park based on its designated use, management, or characteristics.
-
E.
hasParkDistrict
Indicates that an entity is associated with, located within, or administered by a specific park district.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd93e5d0f08190a6cc9fc408b7c5bb |
completed | March 20, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69bd91a73b148190a865243536a4fe76 |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd93e4d2d081908eb75ee22fe72824 |
completed | March 20, 2026, 6:37 p.m. |
Created at: March 20, 2026, 2:09 p.m.