Triple
T29528170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intermezzo in A major, Op. 118 No. 2 |
E749123
|
entity |
| Predicate | setPosition |
P167004
|
FINISHED |
| Object | second piece in Op. 118 |
—
|
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: second piece in Op. 118 | Statement: [Intermezzo in A major, Op. 118 No. 2, setPosition, second piece in Op. 118]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setPosition Context triple: [Intermezzo in A major, Op. 118 No. 2, setPosition, second piece in Op. 118]
-
A.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
B.
positionOnPhysics
Indicates a stance, viewpoint, or opinion that one entity holds regarding the subject or field of physics.
-
C.
targetedPosition
Indicates a relationship where an action, influence, or focus is specifically directed toward a particular position, role, or location.
-
D.
positionHead
Indicates that one entity serves as the head or primary governing element in the positional or syntactic structure of another entity.
-
E.
positionFixMethod
Indicates the method or technique used to determine or fix the position of an entity.
- 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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c9e2d8881909fda7c399cbc598c |
completed | May 2, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6642e676c8190af0e6b1416eed6d2 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 4:49 p.m.