Triple
T31944854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Requiem et Kyrie |
E815622
|
entity |
| Predicate | workNumberInProgrammes |
P173030
|
FINISHED |
| Object | I |
—
|
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: I | Statement: [Requiem et Kyrie, workNumberInProgrammes, I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workNumberInProgrammes Context triple: [Requiem et Kyrie, workNumberInProgrammes, I]
-
A.
worksOnProgram
Indicates that an entity is actively involved in contributing effort or performing tasks on a particular program.
-
B.
worksNumber
Indicates that an entity is identified or referenced by a specific works number, typically denoting a particular work, item, or production instance.
-
C.
hasWorkProgram
Indicates that an entity offers, participates in, or is associated with a specific work-related program or scheme.
-
D.
workNumbering
Indicates that a specific numbering or cataloging identifier is assigned to a work within a larger collection or system.
-
E.
workNumberInSet
Indicates that a particular work number belongs to, or is included within, a specified set of work numbers.
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b2d9aad88190a445f8f591cb19fc |
completed | May 3, 2026, 2:28 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b21da77081908c5c015c4606d344 |
completed | May 3, 2026, 2:25 a.m. |
Created at: May 1, 2026, 12:06 a.m.