Triple
T29032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl of Southesk |
E578
|
entity |
| Predicate | typeOfInheritance |
P1920
|
FINISHED |
| Object | male-preference primogeniture |
—
|
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: male-preference primogeniture | Statement: [Earl of Southesk, typeOfInheritance, male-preference primogeniture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfInheritance Context triple: [Earl of Southesk, typeOfInheritance, male-preference primogeniture]
-
A.
subclassOf
Indicates that one class is a more specific type of another class, inheriting its characteristics as a subset of it.
-
B.
derivedFrom
Indicates that one entity originates, is obtained, or is developed from another source entity.
-
C.
nestType
Indicates the type or kind of nest associated with or used by an entity.
-
D.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
E.
hasStructureType
Indicates that an entity possesses or is classified by a specific structural type or configuration.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2490019948190a89bb0910c60d462 |
completed | Feb. 28, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69a2486d40348190b2d21fc444f499a6 |
completed | Feb. 28, 2026, 1:44 a.m. |
| PDg | Predicate description generation | batch_69a248fef2b881908180bd4e32e58cb5 |
completed | Feb. 28, 2026, 1:46 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.