Triple
T24539698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erzherzogin von Österreich |
E607055
|
entity |
| Predicate | associatedHouseStyle |
P156653
|
FINISHED |
| Object | House of Austria |
—
|
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: House of Austria | Statement: [Erzherzogin von Österreich, associatedHouseStyle, House of Austria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedHouseStyle Context triple: [Erzherzogin von Österreich, associatedHouseStyle, House of Austria]
-
A.
keeperHouseStyle
Indicates the architectural or design style associated with a keeper’s house (e.g., lighthouse keeper’s residence).
-
B.
hasTraditionalHouseStyle
Indicates that an entity possesses or is characterized by a traditional style of house or residential architecture.
-
C.
countryHouseStyle
Indicates a stylistic relationship where something is designed, built, or decorated in the manner or aesthetic of a country house.
-
D.
typeOfHouse
Indicates the specific category or kind of house associated with an entity (e.g., apartment, detached house, townhouse).
-
E.
countryHouseType
Indicates the type or category of house associated with or characteristic of a particular country.
- 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_69e2c4c9bf94819082d05da6f5c29907 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:26 a.m.