Triple
T27119160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count of Brionne |
E686940
|
entity |
| Predicate | associatedHouseType |
P26313
|
FINISHED |
| Object | princely 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: princely house | Statement: [Count of Brionne, associatedHouseType, princely house]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedHouseType Context triple: [Count of Brionne, associatedHouseType, princely house]
-
A.
associatedHouse
chosen
Indicates a relationship where one entity is linked or connected to a particular house, typically as its related or corresponding house.
-
B.
typeOfHouse
Indicates the specific category or kind of house associated with an entity (e.g., apartment, detached house, townhouse).
-
C.
residenceType
Indicates the kind or category of dwelling or living arrangement associated with an entity.
-
D.
domicileType
Indicates the category or kind of residence or dwelling associated with an entity.
-
E.
associatedHouseStyle
Indicates a relationship where a house or building is linked to a particular architectural style or design tradition.
- 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_69ef148c2b588190afc15b529f7af845 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69ffbb1c5bf88190a0bf791213045885 |
completed | May 9, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69ffba0ab0f881908f84ef81f7a1bfe8 |
completed | May 9, 2026, 10:49 p.m. |
Created at: April 27, 2026, 8:58 a.m.