Triple
T24857925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La secta del Fénix |
E622076
|
entity |
| Predicate | formaParteDelCanon |
P52847
|
FINISHED |
| Object | obra cuentística de Jorge Luis 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: obra cuentística de Jorge Luis Borges | Statement: [La secta del Fénix, formaParteDelCanon, obra cuentística de Jorge Luis Borges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formaParteDelCanon Context triple: [La secta del Fénix, formaParteDelCanon, obra cuentística de Jorge Luis Borges]
-
A.
partOfCanonicalSix
Indicates that something belongs to or is included within a recognized canonical group of six items.
-
B.
hasPartInCanonization
Indicates that an entity participated in or contributed to the process of canonization of another entity.
-
C.
consideredPartOf
chosen
Indicates that one entity is regarded or treated as a component, segment, or subset of another entity within a larger whole.
-
D.
inCanonWith
Indicates that two or more works, events, or elements are officially recognized as belonging to the same narrative continuity or canon.
-
E.
structurePartOf
Indicates that one structure is a constituent or component of a larger, encompassing structure.
- 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_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 5:21 a.m.