Triple
T34006036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salió el Sol (English Version) |
E871966
|
entity |
| Predicate | hasLanguageVariantOfTitle |
P184453
|
FINISHED |
| Object | Salió el Sol |
—
|
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: Salió el Sol | Statement: [Salió el Sol (English Version), hasLanguageVariantOfTitle, Salió el Sol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageVariantOfTitle Context triple: [Salió el Sol (English Version), hasLanguageVariantOfTitle, Salió el Sol]
-
A.
hasNameVariantLanguage
Indicates that a name variant is associated with or expressed in a specific language.
-
B.
equivalentTitleInLanguage
Indicates that two titles are equivalent in meaning or reference, but expressed in a specified language.
-
C.
hasTitleInLanguage
Indicates that an entity has a specific title expressed in a particular language.
-
D.
isTranslationVariantOf
chosen
Indicates that one expression is a different linguistic rendering or version of the same content as another expression, typically across languages or translation forms.
-
E.
hasAlternateTitleRegion
Indicates that an entity has an alternate title that is specifically used or valid within a particular geographic region.
- 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff1a972bf08190860696ffcd887c0f |
completed | May 9, 2026, 11:29 a.m. |
| PD | Predicate disambiguation | batch_69ff184005d88190bf38283ebc499b28 |
completed | May 9, 2026, 11:19 a.m. |
Created at: May 1, 2026, 1:50 a.m.