Triple
T34658068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | bugueño |
E890035
|
entity |
| Predicate | partOfLinguisticType |
P202139
|
FINISHED |
| Object | gentilic |
—
|
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: gentilic | Statement: [bugueño, partOfLinguisticType, gentilic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfLinguisticType Context triple: [bugueño, partOfLinguisticType, gentilic]
-
A.
linguisticType
Indicates the type or category of language or linguistic system associated with an entity (e.g., spoken, signed, written, or other linguistic modality).
-
B.
partOfLanguage
Indicates that one linguistic element belongs to, is included within, or is a component of a particular language.
-
C.
partOfLexicalField
Indicates that one lexical item belongs to, or is a component of, a broader lexical field or semantic domain.
-
D.
languagePartOfSpeech
Indicates the grammatical part of speech category (e.g., noun, verb, adjective) that a linguistic unit belongs to.
-
E.
grammaticalType
Indicates the grammatical category or role (such as part of speech or syntactic function) that an expression has within a language.
- F. None of above. chosen
Provenance (4 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_69f349d906bc8190b2efd9eff237d94b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0058c341ac8190825067dc25158839 |
completed | May 10, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_6a005857249c81908b27587b84d84dbb |
completed | May 10, 2026, 10:05 a.m. |
| PDg | Predicate description generation | batch_6a0058c26638819085d8cbaa0bd4ccf0 |
completed | May 10, 2026, 10:06 a.m. |
Created at: May 1, 2026, 2:04 a.m.