Triple
T28854738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orvietani |
E728703
|
entity |
| Predicate | useLocalDialect |
P23892
|
FINISHED |
| Object | Umbrian dialect |
—
|
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: Umbrian dialect | Statement: [Orvietani, useLocalDialect, Umbrian dialect]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: useLocalDialect Context triple: [Orvietani, useLocalDialect, Umbrian dialect]
-
A.
usesDialect
chosen
Indicates that one entity communicates or expresses itself using the specific dialect associated with another entity.
-
B.
affectsDialect
Indicates that one entity influences or changes the dialect used or spoken by another entity.
-
C.
isBasedOnDialect
Indicates that something (such as a language variety, system, or representation) is derived from, structured around, or primarily influenced by a particular dialect.
-
D.
regulatesDialect
Indicates a relationship in which one entity controls, shapes, or constrains the form, usage, or rules of a particular dialect.
-
E.
focusesOnDialect
Indicates that the subject’s attention, work, or activity is specifically directed toward a particular dialect or set of dialects.
- 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_69f0319f4e5481909e4c439dbe8be940 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f659dc20e881908c5f4f1706b9a53a |
completed | May 2, 2026, 8:09 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:45 a.m.