Triple
T32175689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perdóname, Señor |
E821836
|
entity |
| Predicate | originalChannelLanguage |
P5459
|
FINISHED |
| Object | Spanish |
—
|
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: Spanish | Statement: [Perdóname, Señor, originalChannelLanguage, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalChannelLanguage Context triple: [Perdóname, Señor, originalChannelLanguage, Spanish]
-
A.
originalChannel
Indicates the communication channel or medium through which something was first created, sent, or published.
-
B.
originalLanguageText
Indicates that a text is expressed in its original, untranslated language.
-
C.
originalTextLanguage
chosen
Indicates the language in which a text was originally written or created before any translation or adaptation.
-
D.
originalLanguageContext
Indicates the language in which something was first created or expressed, providing the original linguistic context for its content or meaning.
-
E.
originalLanguageVersionRecordedIn
Indicates that the original-language version of a work was recorded in a specified medium, format, or recording context.
- 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_69f3490755288190aee11740a34862f9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0174142430819084aa1235500b9d3b |
completed | May 11, 2026, 6:15 a.m. |
| PD | Predicate disambiguation | batch_6a0171a6e0088190958679bb6cb24a70 |
completed | May 11, 2026, 6:05 a.m. |
Created at: May 1, 2026, 12:34 a.m.