Triple
T2397003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siete Partidas |
E47672
|
entity |
| Predicate | translationPublicationDate |
P37913
|
FINISHED |
| Object | 1931 |
—
|
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: 1931 | Statement: [Siete Partidas, translationPublicationDate, 1931]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: translationPublicationDate Context triple: [Siete Partidas, translationPublicationDate, 1931]
-
A.
hasPublicationDate
Indicates that an entity is associated with the specific date on which it was published.
-
B.
EnglishPublicationDate
Indicates the date on which something is (or was) published in English.
-
C.
publishedFor
Indicates that something (such as a work, document, or content) is published with a particular audience, recipient, or target group in mind.
-
D.
publicationYearSpanishEdition
Indicates the year in which the Spanish-language edition of a work was published.
-
E.
publicationYear
Indicates the specific calendar year in which a work was formally published or released.
- F. None of above. chosen
Provenance (4 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc8c4a8bc819086892a75caac0207 |
completed | March 7, 2026, 6:42 a.m. |
| PD | Predicate disambiguation | batch_69abc5a3825c81909ec6111dfc165453 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc664317c8190a6bb5a5065c21bde |
completed | March 7, 2026, 6:32 a.m. |
Created at: March 4, 2026, 7:57 p.m.