Triple
T24607087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burghley House |
E609003
|
entity |
| Predicate | parklandDesignedBy |
P19613
|
FINISHED |
| Object | Lancelot "Capability" Brown |
—
|
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: Lancelot "Capability" Brown | Statement: [Burghley House, parklandDesignedBy, Lancelot "Capability" Brown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parklandDesignedBy Context triple: [Burghley House, parklandDesignedBy, Lancelot "Capability" Brown]
-
A.
landscapeDesignedBy
chosen
Indicates that a particular landscape or outdoor environment was planned, created, or shaped by a specific designer or design entity.
-
B.
parkDesignation
Indicates that an area or location has been officially designated or classified as a park.
-
C.
parkSide
Indicates that one entity is located on the side of or adjacent to a park relative to another reference point or area.
-
D.
parkArea
Indicates that an area of land is designated and used as a park or recreational green space.
-
E.
campDesignation
Indicates that an entity is assigned or associated with a specific camp classification or label.
- 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_69e2c4d060e08190ac9f7c49b1036e20 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.