Triple
T16083406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scottorum |
E390166
|
entity |
| Predicate | denotationType |
P7975
|
FINISHED |
| Object | collective designation of a people |
—
|
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: collective designation of a people | Statement: [Scottorum, denotationType, collective designation of a people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denotationType Context triple: [Scottorum, denotationType, collective designation of a people]
-
A.
denType
Indicates the specific kind or category of den associated with an entity.
-
B.
notationType
Indicates the specific system or style of notation used to represent or encode something (such as music, math, or language).
-
C.
definitionType
Indicates the specific kind or category of definition that characterizes how one entity is defined in relation to another.
-
D.
semanticType
chosen
Indicates that something belongs to or is categorized under a particular semantic class or type based on its meaning.
-
E.
datumType
Indicates the specific kind or category of data that characterizes or classifies a datum.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:59 a.m.