Triple
T18037568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonna-Walewski family |
E431550
|
entity |
| Predicate | typeOfEstateOwnership |
P33508
|
FINISHED |
| Object | rural estates |
—
|
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: rural estates | Statement: [Colonna-Walewski family, typeOfEstateOwnership, rural estates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfEstateOwnership Context triple: [Colonna-Walewski family, typeOfEstateOwnership, rural estates]
-
A.
ownershipType
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
B.
propertyTypeOwned
Indicates that one entity owns a specific type or category of property in relation to another entity.
-
C.
hasEstateType
chosen
Indicates that an entity possesses or is associated with a particular category or type of estate.
-
D.
landTenure
Indicates the type, conditions, or rights under which land is held, used, or owned by an entity.
-
E.
residenceType
Indicates the kind or category of dwelling or living arrangement associated with an 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be3bc3208190a6db569e79f06232 |
completed | April 19, 2026, 11:36 a.m. |
| PD | Predicate disambiguation | batch_69e3f908da508190a088aa837ea5b7af |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:25 a.m.