Triple
T33108835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Firmino |
E847269
|
entity |
| Predicate | hasPhoneticLanguage |
P41705
|
FINISHED |
| Object | Portuguese pronunciation rules |
—
|
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: Portuguese pronunciation rules | Statement: [Firmino, hasPhoneticLanguage, Portuguese pronunciation rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhoneticLanguage Context triple: [Firmino, hasPhoneticLanguage, Portuguese pronunciation rules]
-
A.
usesPhoneticSystem
chosen
Indicates that one entity employs or is based on a particular phonetic system for representing or encoding sounds.
-
B.
isPhonetic
Indicates that one entity represents the phonetic (sound-based) form or pronunciation of another entity.
-
C.
hasPhoneme
Indicates that a linguistic unit (such as a word or morpheme) contains or includes a particular phoneme as part of its sound structure.
-
D.
hasPhonologicalStandard
Indicates that one entity serves as the accepted or prescribed phonological norm or standard for the pronunciation system of another entity.
-
E.
hasPhonologicalDescription
Indicates that an entity is associated with a specific representation or description of its sound structure or phonological form.
- 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_69f3495686508190b76bf20fa5e00bf7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: May 1, 2026, 1:27 a.m.