Triple
T8712709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westminster Quarters |
E206815
|
entity |
| Predicate | melodicPattern |
P84026
|
FINISHED |
| Object | sequence of changing permutations of four phrases |
—
|
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: sequence of changing permutations of four phrases | Statement: [Westminster Quarters, melodicPattern, sequence of changing permutations of four phrases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: melodicPattern Context triple: [Westminster Quarters, melodicPattern, sequence of changing permutations of four phrases]
-
A.
melodicContour
Indicates the pattern of pitch movement over time in a musical line, describing how notes rise, fall, or stay level relative to one another.
-
B.
melodyType
Indicates the specific kind or category of melody associated with or used by an entity.
-
C.
hasMelody
Indicates that one entity possesses, contains, or is characterized by a particular melody.
-
D.
melodyReusedBy
Indicates that a melody originally used in one work is later reused or incorporated in another work.
-
E.
hasMelodyInstrument
Indicates that something uses or features a particular instrument to carry the main melody.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5c32aebc8190ba19299ce9a18efd |
completed | March 31, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69cc456e806c819087e7d66ee737f242 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc46c40c54819093d174a4203f9515 |
completed | March 31, 2026, 10:12 p.m. |
Created at: March 30, 2026, 6:35 p.m.