Triple
T4024284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saloon at Kedleston Hall |
E91352
|
entity |
| Predicate | countryHouseContext |
P12816
|
FINISHED |
| Object | English 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: English country house | Statement: [Saloon at Kedleston Hall, countryHouseContext, English country house]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryHouseContext Context triple: [Saloon at Kedleston Hall, countryHouseContext, English country house]
-
A.
countryEstate
Indicates that a particular estate or property is located within or belongs to a specified country.
-
B.
houseFounded
Indicates that an entity (such as a house, organization, or lineage) was established or created by another entity or at a specific time.
-
C.
houseLocatedIn
Indicates that a house is situated within or belongs to a specific geographic location or area.
-
D.
house1
chosen
Indicates that something is identified or classified as a house or dwelling.
-
E.
houses
Indicates that one entity serves as a dwelling or shelter for another entity.
- 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefacfb23081909a46878adb90ea6c |
completed | March 9, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69aef8fc78ec819092d4dab88d85a141 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:35 p.m.