Triple
T17728629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Del lado de acá |
E442529
|
entity |
| Predicate | workChronologyWithinRayuela |
P128771
|
FINISHED |
| Object | first part |
—
|
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: first part | Statement: [Del lado de acá, workChronologyWithinRayuela, first part]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workChronologyWithinRayuela Context triple: [Del lado de acá, workChronologyWithinRayuela, first part]
-
A.
workInChronologyOfAuthor
Indicates that a work appears within, and is ordered as part of, the chronological sequence of an author's creations or publications.
-
B.
workChronologyWithinParallelLives
Indicates that one work’s chronological placement is defined relative to another work within a set of parallel or alternative life narratives.
-
C.
workChronicles
Indicates that one entity documents, records, or narrates the work-related activities, history, or experiences of another entity.
-
D.
workInAuthorCareer
Indicates that an author’s professional work or role occurs within and is part of their overall writing career.
-
E.
workChronologyWithinShow
Indicates the chronological ordering of work-related events or contributions as they occur within the timeline of a specific show.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e4ae5c8190a6f0743f7e74b5bf |
completed | April 19, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3d37ab6988190bd326ea6f8dd4aaa |
completed | April 18, 2026, 6:54 p.m. |
Created at: April 10, 2026, 10:08 a.m.