Triple
T1546351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Williamson |
E32984
|
entity |
| Predicate | hasOnomasticType |
P12903
|
FINISHED |
| Object | patronymic surname |
—
|
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: patronymic surname | Statement: [Williamson, hasOnomasticType, patronymic surname]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnomasticType Context triple: [Williamson, hasOnomasticType, patronymic surname]
-
A.
hasOnomasticField
Indicates a relationship where something is associated with a specific onomastic field, i.e., a domain or category related to names or naming conventions.
-
B.
hasLatinName
Indicates that an entity is associated with a specific Latin (scientific) name.
-
C.
hasAppellationType
chosen
Indicates that an entity’s name or title is associated with a specific category or type of appellation.
-
D.
hasToponymicForm
Indicates that one entity is a toponymic (place-name-based) form or variant derived from another entity.
-
E.
hasExonym
Indicates that one entity is known by an alternative name or designation in another language or cultural context.
- 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_69a885ed29088190a3c2d5a3d100c16e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa574094048190a2d7fc3ac904d51e |
completed | March 6, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69a907b426dc8190975c024a50955368 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.