Triple
T28181349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thornton |
E716034
|
entity |
| Predicate | categorizedInOnomastics |
P132798
|
FINISHED |
| Object | English toponymic surnames |
—
|
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: English toponymic surnames | Statement: [Thornton, categorizedInOnomastics, English toponymic surnames]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categorizedInOnomastics Context triple: [Thornton, categorizedInOnomastics, English toponymic surnames]
-
A.
partOfOnomasticsCategory
chosen
Indicates that one concept or term belongs to, or is classified under, a specific category within the field of onomastics (the study of names).
-
B.
commonInOnomastics
Indicates that a name, term, or pattern frequently appears or is widely used within the study and practice of naming (onomastics).
-
C.
namedAccordingTo
Indicates that one entity is given a name that follows, references, or is derived from another entity or source.
-
D.
onomasticType
Indicates the specific kind or category of a name (e.g., personal, place, or other name type) that characterizes the naming relationship.
-
E.
hasNameEtymologyIn
Indicates that the origin or derivation of an entity’s name is based in, or traceable to, a specified source such as a language, place, 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_69efd6b4fc5c81909dd88f01a8c2b35d |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f642838c308190930f9edf7cf96636 |
completed | May 2, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 10:19 p.m.