Triple
T8598959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Albert William Spencer-Churchill |
E203624
|
entity |
| Predicate | landOwnershipType |
P34249
|
FINISHED |
| Object | aristocratic estate |
—
|
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 estate | Statement: [John Albert William Spencer-Churchill, landOwnershipType, aristocratic estate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landOwnershipType Context triple: [John Albert William Spencer-Churchill, landOwnershipType, aristocratic estate]
-
A.
landTenure
chosen
Indicates the type, conditions, or rights under which land is held, used, or owned by an entity.
-
B.
ownershipType
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
C.
hasLandOwnershipMix
Indicates that an entity has a particular combination or distribution of different types of land ownership (e.g., public, private, communal) associated with it.
-
D.
propertyTypeOwned
Indicates that one entity owns a specific type or category of property in relation to another entity.
-
E.
landholdings
Indicates the extent or collection of land owned, controlled, or held by 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46cc8b2081909c6aa45f8656f2ad |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454504448190aaad2af8b17357cd |
completed | March 31, 2026, 10:05 p.m. |
Created at: March 30, 2026, 6:24 p.m.