Triple
T24542812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garnata |
E607141
|
entity |
| Predicate | hasEtymologicalTarget |
P5801
|
FINISHED |
| Object | LatinGranata |
—
|
NE NERFINISHED |
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: LatinGranata | Statement: [Garnata, hasEtymologicalTarget, LatinGranata]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEtymologicalTarget Context triple: [Garnata, hasEtymologicalTarget, LatinGranata]
-
A.
hasEtymologicalBasis
Indicates that one term, name, or expression is derived from, based on, or historically formed from the other in terms of linguistic origin.
-
B.
hasEtymologyConcept
Indicates that something derives its origin, form, or meaning from a particular etymological concept or source.
-
C.
hasEtymologyDetail
Indicates a relationship where additional explanatory or contextual information about the origin or derivation of a term is provided.
-
D.
etymologyStatus
Indicates the status or reliability classification of an etymological explanation for a term or name.
-
E.
etymologicalSource
chosen
Indicates that one term or name originates from, is derived from, or has its roots in another term or name.
- 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_69e2c4c9bf94819082d05da6f5c29907 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:26 a.m.