Triple
T17540275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The House of Fochabers (alterations) |
E427177
|
entity |
| Predicate | hasOriginalBuildingType |
P59354
|
FINISHED |
| Object | country house |
—
|
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: country house | Statement: [The House of Fochabers (alterations), hasOriginalBuildingType, country house]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalBuildingType Context triple: [The House of Fochabers (alterations), hasOriginalBuildingType, country house]
-
A.
hasOriginalBuildings
Indicates that an entity possesses or still retains its initial or historically first-constructed buildings.
-
B.
originalBuildingType
chosen
Indicates the type or category of building that something was initially constructed or designated to be, before any later changes or repurposing.
-
C.
originalBuilding
Indicates that a building is the initial or first version from which later buildings, modifications, or replacements are derived.
-
D.
hasFormerBuilding
Indicates that an entity previously occupied or used a different building, which is identified as its former building.
-
E.
buildingArchitectOfOriginal
Indicates that an entity is the architect responsible for the original design of a particular building.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4536fc7588190af88de453a54938d |
completed | April 19, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f8b9888190aa8a45e09acf4319 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.