Triple
T37359313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deh vieni, non tardar |
E927535
|
entity |
| Predicate | timePeriodOfCompositionOpera |
P134115
|
FINISHED |
| Object | 1780s |
—
|
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: 1780s | Statement: [Deh vieni, non tardar, timePeriodOfCompositionOpera, 1780s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfCompositionOpera Context triple: [Deh vieni, non tardar, timePeriodOfCompositionOpera, 1780s]
-
A.
timePeriodOfCompositionOfOpera
chosen
Indicates the time span during which an opera was composed.
-
B.
periodOfComposer
Indicates the historical or stylistic period during which a composer was active or to which their work is primarily associated.
-
C.
numberOfOperas
Indicates the total count of operas associated with a given entity (such as a person, organization, or catalog entry).
-
D.
composerOfOpera
Indicates that one entity is the composer who created the opera represented by the other entity.
-
E.
spanOfCompositionYears
Indicates the range of years during which a composition was created or worked on.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
Created at: May 3, 2026, 4:16 p.m.