Triple
T31855991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Skyline (Reprise) |
E813197
|
entity |
| Predicate | echoesMelodiesFrom |
P33443
|
FINISHED |
| Object | Western Skyline |
—
|
NE NERFINISHED |
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: Western Skyline | Statement: [Western Skyline (Reprise), echoesMelodiesFrom, Western Skyline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: echoesMelodiesFrom Context triple: [Western Skyline (Reprise), echoesMelodiesFrom, Western Skyline]
-
A.
hasMoreMelodicSoundThan
Indicates that the sound produced by one entity is judged to be more melodic, tuneful, or musically pleasing than the sound produced by another entity.
-
B.
echoesCity
Indicates that one city reflects, resembles, or mirrors another city in character, atmosphere, or notable features.
-
C.
echoedIn
chosen
Indicates that a sound, statement, or effect produced in one context is repeated, reflected, or resonated in another context.
-
D.
melodyType
Indicates the specific kind or category of melody associated with or used by an entity.
-
E.
hasMelody
Indicates that one entity possesses, contains, or is characterized by a particular melody.
- 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_69f348ebf32881908d9439646933dc76 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b069d4748190b401e518e0a53e4f |
completed | May 3, 2026, 2:18 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:52 p.m.