Triple
T29447812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wulfhall |
E746896
|
entity |
| Predicate | countryHouseFunction |
P31237
|
FINISHED |
| Object | aristocratic residence |
—
|
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: aristocratic residence | Statement: [Wulfhall, countryHouseFunction, aristocratic residence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryHouseFunction Context triple: [Wulfhall, countryHouseFunction, aristocratic residence]
-
A.
houseFunction
chosen
Indicates the functional role or primary use that a house serves (e.g., residential, commercial, mixed-use).
-
B.
countryHouse
Indicates that a given house is located within or belongs to a particular country.
-
C.
countryHouseOnEstate
Indicates that a country house is located on, and forms part of, a particular estate.
-
D.
countryHouseType
Indicates the type or category of house associated with or characteristic of a particular country.
-
E.
countryHouseStyle
Indicates a stylistic relationship where something is designed, built, or decorated in the manner or aesthetic of a country house.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69ff109695008190a22b47ef8be2e3f9 |
completed | May 9, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69ff0f243ea88190970d2c520b55c816 |
completed | May 9, 2026, 10:40 a.m. |
Created at: April 28, 2026, 3:29 p.m.