Triple
T24857910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La secta del Fénix |
E622076
|
entity |
| Predicate | relaciónConOtrasObras |
P81108
|
FINISHED |
| Object | literatura de ideas de Borges |
—
|
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: literatura de ideas de Borges | Statement: [La secta del Fénix, relaciónConOtrasObras, literatura de ideas de Borges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relaciónConOtrasObras Context triple: [La secta del Fénix, relaciónConOtrasObras, literatura de ideas de Borges]
-
A.
hasRelationToOtherWork
chosen
Indicates that one work bears a specified relationship (such as adaptation, sequel, reference, or influence) to another distinct work.
-
B.
relatedToAuthorWork
Indicates that there is a connection or association between an author and a work they have created, contributed to, or are otherwise linked with.
-
C.
relatedWorkByAttribution
Indicates that one work is connected to another through explicit attribution, such as citation, acknowledgment, or credit given by the creator or source.
-
D.
spinoffRelatedWork
Indicates that one work is derived from, based on, or created as a spinoff of another work.
-
E.
relatedWorkBySubject
Indicates a relationship where one work is connected to another through sharing the same subject or topic.
- 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_69e2fac350d08190b3affde1b451a8c5 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:21 a.m.