Triple
T9491620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Songs Without Words |
E228903
|
entity |
| Predicate | movementCountPerOpus |
P88414
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Songs Without Words, movementCountPerOpus, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: movementCountPerOpus Context triple: [Songs Without Words, movementCountPerOpus, 6]
-
A.
hasOpusNumber
Indicates that a musical work is associated with a specific opus number assigned to it, typically denoting its place in a composer’s catalog.
-
B.
numberOfSongs
Indicates the quantity of songs associated with a given entity.
-
C.
typicalMovementCountPerConcerto
Indicates the usual or standard number of movements that a concerto typically contains.
-
D.
movementCount
Indicates the number of times a movement or relocation action has occurred between the related entities.
-
E.
estimatedNumberOfOperas
Indicates the approximate count of operas associated with an entity, rather than an exact, verified number.
- 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd80c89ec48190a2ad49394cab9c56 |
completed | April 1, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69cca561e6b0819090aa795f3c3a2083 |
completed | April 1, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69cca89d0f0c8190b4528990fe708fca |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:56 p.m.