Triple
T33502754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La botifarra de la llibertat |
E858038
|
entity |
| Predicate | authorNameInCatalan |
P59722
|
FINISHED |
| Object | Frederic Soler |
—
|
NE NERFINISHED |
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: Frederic Soler | Statement: [La botifarra de la llibertat, authorNameInCatalan, Frederic Soler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorNameInCatalan Context triple: [La botifarra de la llibertat, authorNameInCatalan, Frederic Soler]
-
A.
authorName
Indicates the name associated with the person or entity that authored a given work or resource.
-
B.
authorOfNamesFor
Indicates that one entity is the creator or originator of the names assigned to another entity or set of entities.
-
C.
authorNameVariant
chosen
Indicates that an entity has an alternative or variant form of its author name, such as different spellings, transliterations, or name formats.
-
D.
authorTraditionallyAscribedTo
Indicates that authorship of a work is customarily or historically attributed to an entity, even if definitive proof of authorship may be uncertain or disputed.
-
E.
authorDescribedIn
Indicates that information about an author is provided or discussed within a particular document or source.
- 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_69f3497660508190a541826a81f7e9ab |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: May 1, 2026, 1:38 a.m.