Triple
T11475116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaconne from Partita No. 2 in D minor, BWV 1004 |
E272006
|
entity |
| Predicate | durationRange |
P47557
|
FINISHED |
| Object | approximately 12 to 15 minutes |
—
|
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: approximately 12 to 15 minutes | Statement: [Chaconne from Partita No. 2 in D minor, BWV 1004, durationRange, approximately 12 to 15 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: durationRange Context triple: [Chaconne from Partita No. 2 in D minor, BWV 1004, durationRange, approximately 12 to 15 minutes]
-
A.
eraDuration
Indicates the length of time that a particular era or period spans.
-
B.
durationCategory
chosen
Indicates the classification of an event or state based on how long it lasts, grouping it into a specific duration range or type.
-
C.
range
Indicates that a value, property, or effect extends between specified limits or over a specified interval or scope.
-
D.
typicalRange
Indicates the usual or expected range of values, conditions, or states within which something normally occurs or applies.
-
E.
lengthInMinutes
Indicates the duration of something expressed as a number of minutes.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294c8dc48190a515f83c99405a3b |
completed | April 9, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.