Triple
T5367392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inés of My Soul |
E103162
|
entity |
| Predicate | languageFirstEdition |
P29379
|
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: [Inés of My Soul, languageFirstEdition, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageFirstEdition Context triple: [Inés of My Soul, languageFirstEdition, Spanish]
-
A.
firstEditionLanguage
chosen
Indicates the language in which a work was originally published in its first edition.
-
B.
languageOfOfficialEditions
Indicates the language in which the official editions or versions of a work, document, or publication are produced or authorized.
-
C.
isbnFirstEnglishEdition
Indicates that the object is the ISBN identifier corresponding to the first English-language edition of the subject work.
-
D.
publisherLanguageEdition
Indicates the specific language edition in which a publisher issues or has issued a work.
-
E.
originalPublicationLanguageVariant
Indicates that one language is a specific variant or version of the language in which a work was originally published.
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd8684103081908ed79625b59e4b24 |
completed | March 20, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69bd845f41f88190b75b8b64b9e41862 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:02 p.m.