Triple
T28262603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Près des remparts de Séville |
E712619
|
entity |
| Predicate | basedOnSourceWorkOfOpera |
P15523
|
FINISHED |
| Object | Carmen (novella) |
—
|
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: Carmen (novella) | Statement: [Près des remparts de Séville, basedOnSourceWorkOfOpera, Carmen (novella)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnSourceWorkOfOpera Context triple: [Près des remparts de Séville, basedOnSourceWorkOfOpera, Carmen (novella)]
-
A.
basedOnWorkLibrettist
Indicates that one work is based on another work specifically in terms of its libretto, identifying the source work whose libretto served as the basis.
-
B.
adaptedWorkOf
chosen
Indicates that one work is derived from, based on, or reinterprets the content of another pre-existing work.
-
C.
basedOnSourceMaterialForNotableWork
Indicates that one entity serves as the source material or inspiration for another entity that is a notable work.
-
D.
cataloguedWithOpera
Indicates that an item is recorded or documented in association with a specific opera work or opera-related cataloging system.
-
E.
originalWorkFrom
Indicates that something is derived, adapted, or based on an earlier original work created by another 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_69efb5216c6881908020dce4aea65381 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: April 27, 2026, 11:12 p.m.