Triple
T30654720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ley Orgánica del Registro Civil |
E780353
|
entity |
| Predicate | lenguaDeRedacción |
P17914
|
FINISHED |
| Object | español |
—
|
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: español | Statement: [Ley Orgánica del Registro Civil, lenguaDeRedacción, español]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lenguaDeRedacción Context triple: [Ley Orgánica del Registro Civil, lenguaDeRedacción, español]
-
A.
languageOfWritings
chosen
Indicates that a specified language is the one in which certain writings or written works are composed.
-
B.
writtenLanguage
Indicates that one entity uses or is expressed in a particular written language associated with the other entity.
-
C.
languageSubject
Indicates that a particular language is the subject or topic being studied, discussed, or otherwise focused on in relation to another entity.
-
D.
languageWrittenAbout
Indicates that something is written about or concerning a particular language.
-
E.
writesLanguage
Indicates that an entity produces written content in a particular language.
- 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_69f224a5d2b481908a6853cd0138e2d7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a9b821c8190bf6d788b02a58baa |
completed | May 2, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:30 p.m.