Triple
T21658529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South |
E534531
|
entity |
| Predicate | usesHornSections |
P121093
|
FINISHED |
| Object | trumpets, trombones, saxophones, clarinets |
—
|
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: trumpets, trombones, saxophones, clarinets | Statement: [South, usesHornSections, trumpets, trombones, saxophones, clarinets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesHornSections Context triple: [South, usesHornSections, trumpets, trombones, saxophones, clarinets]
-
A.
featuresHornSection
chosen
Indicates that something includes a horn section as part of its musical arrangement or composition.
-
B.
hasHornMaterial
Indicates that an entity’s horn is made of, or composed from, a specified material.
-
C.
hasOrchestraSection
Indicates that something includes or is associated with a particular section of an orchestra.
-
D.
hasHorns
Indicates that an entity possesses horns as a physical feature.
-
E.
hasRhythmSection
Indicates that an entity (such as a musical group or piece) includes or is associated with a rhythm section component.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c05a8d881909f747635bdb4ef09 |
completed | April 27, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:36 p.m.