Triple
T11878579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fadrique |
E282592
|
entity |
| Predicate | commonInOnomasticsField |
P34347
|
FINISHED |
| Object | Iberian aristocratic naming patterns |
—
|
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: Iberian aristocratic naming patterns | Statement: [Fadrique, commonInOnomasticsField, Iberian aristocratic naming patterns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonInOnomasticsField Context triple: [Fadrique, commonInOnomasticsField, Iberian aristocratic naming patterns]
-
A.
commonInOnomastics
chosen
Indicates that a name, term, or pattern frequently appears or is widely used within the study and practice of naming (onomastics).
-
B.
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.
-
C.
onomasticType
Indicates the specific kind or category of a name (e.g., personal, place, or other name type) that characterizes the naming relationship.
-
D.
possibleNameEtymology
Indicates a hypothesized or suggested origin or derivation of an entity’s name from another term, source, or linguistic root.
-
E.
influenceOnToponymy
Indicates that one entity has affected or shaped the naming, form, or development of place names associated with another 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d39d2934819093b9f7006f45e5cb |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb272f88819090c37c944c5a60ab |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.