Triple
T24068018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joanna de Moravia |
E596142
|
entity |
| Predicate | typeOfPropertyOwned |
P27844
|
FINISHED |
| Object | feudal lands |
—
|
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: feudal lands | Statement: [Joanna de Moravia, typeOfPropertyOwned, feudal lands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfPropertyOwned Context triple: [Joanna de Moravia, typeOfPropertyOwned, feudal lands]
-
A.
propertyTypeOwned
chosen
Indicates that one entity owns a specific type or category of property in relation to another entity.
-
B.
ownershipType
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
C.
ownedProperty
Indicates that one entity possesses legal ownership or control over another entity as property.
-
D.
ownedPropertyWith
Indicates a relationship where one entity owns a particular property jointly or in association with another entity.
-
E.
typeOfPropertyManaged
Indicates the specific category or kind of property that an entity is responsible for managing.
- 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_69e288c25c008190850cf447940ab181 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1da5c57e88190ba05cc41b8fd035a |
completed | April 29, 2026, 10:15 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:40 p.m.