Triple
T9108448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Souletin |
E218534
|
entity |
| Predicate | hasLinguisticStudy |
P43659
|
FINISHED |
| Object | subject of Basque dialectology research |
—
|
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: subject of Basque dialectology research | Statement: [Souletin, hasLinguisticStudy, subject of Basque dialectology research]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLinguisticStudy Context triple: [Souletin, hasLinguisticStudy, subject of Basque dialectology research]
-
A.
hasLinguisticDocumentation
chosen
Indicates that there exists recorded linguistic information or documentation about the language or linguistic properties of the subject.
-
B.
hasPhonologicalStudyBy
Indicates that a phonological analysis or study has been conducted by a specified agent on a given linguistic subject.
-
C.
hasLinguist
Indicates that an entity is associated with or possesses a linguist, typically as a member, employee, collaborator, or resource.
-
D.
hasLinguisticDomain
Indicates that something (such as a term, expression, or resource) is associated with or applies within a particular linguistic domain or language context.
-
E.
hasLinguisticTypology
Indicates a relationship where a language or linguistic system is characterized by a specific typological classification or structural type.
- 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca57543448190829853c31e05dd8c |
completed | April 1, 2026, 4:56 a.m. |
| PD | Predicate disambiguation | batch_69cc65fe5be081909d4470d6317b14a6 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:16 p.m.