Triple
T25473079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Symphony No. 3 in F minor "Irish" |
E638354
|
entity |
| Predicate | hasSubsequentKeyAreas |
P47020
|
FINISHED |
| Object | A-flat major |
—
|
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: A-flat major | Statement: [Symphony No. 3 in F minor "Irish", hasSubsequentKeyAreas, A-flat major]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubsequentKeyAreas Context triple: [Symphony No. 3 in F minor "Irish", hasSubsequentKeyAreas, A-flat major]
-
A.
hasSiblingArea
Indicates that one area is a sibling of another area, meaning they share the same parent area and are at the same hierarchical level.
-
B.
hasSubsequent
chosen
Indicates that one entity occurs, appears, or is positioned after another in a defined sequence or order.
-
C.
hasIntermediateArea
Indicates that there exists an area or region that lies between or connects two other areas in the relationship.
-
D.
hasKeyReformArea
Indicates that an entity is associated with or involves a primary or central area of reform.
-
E.
hasDownstreamArea
Indicates that one entity is associated with an area located downstream from it, typically receiving flow, influence, or impact from the upstream entity.
- 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_69e75db9b964819096802dcf502e577e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 21, 2026, 2:24 p.m.