Triple
T33590926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tres fragmentos de 'El amante menguante' |
E860418
|
entity |
| Predicate | trataSobre |
P142219
|
FINISHED |
| Object | relación amorosa |
—
|
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: relación amorosa | Statement: [Tres fragmentos de 'El amante menguante', trataSobre, relación amorosa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trataSobre Context triple: [Tres fragmentos de 'El amante menguante', trataSobre, relación amorosa]
-
A.
topicOfDiscourse
Indicates that something serves as the subject or focus of a particular discussion, conversation, or communicative act.
-
B.
titleSubjectOf
chosen
Indicates that a title (such as a book, article, or work) is about or primarily concerns a particular subject.
-
C.
primaryTopicOf
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
-
D.
basedOnSubjectOf
Indicates that something is derived from, informed by, or constructed using the subject matter or content of another entity.
-
E.
subjectOfCatalog
Indicates that something is the primary focus or entry described within a catalog or cataloging record.
- 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_69f3497e70e48190951c94d072879bec |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f79a2c548190b4e8b776afc1a43a |
completed | May 3, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:40 a.m.