Triple
T31863061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Travelling Light |
E813381
|
entity |
| Predicate | hasSequenceOnAlbum |
P199343
|
FINISHED |
| Object | unknown track number |
—
|
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: unknown track number | Statement: [Travelling Light, hasSequenceOnAlbum, unknown track number]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSequenceOnAlbum Context triple: [Travelling Light, hasSequenceOnAlbum, unknown track number]
-
A.
hasPartOfAlbumSequenceRole
Indicates that something is assigned a specific role within the ordered sequence of parts that make up an album.
-
B.
hasOriginalAlbumSequence
Indicates that one entity preserves or follows the original ordering of tracks or items as they appeared on a specific album.
-
C.
hasAlbumSequenceContext
Indicates that an album is associated with a particular position or contextual role within a sequence of albums.
-
D.
albumSequence
Indicates that one album directly follows another in a defined ordered sequence, such as a discography or series.
-
E.
hasAssociatedAlbum
Indicates that an entity is linked to a specific album with which it is related or connected.
- 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_69f348ebf32881908d9439646933dc76 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff2fbae9b48190847eefa1c227d43e |
completed | May 9, 2026, 12:59 p.m. |
| PD | Predicate disambiguation | batch_69ff2f2218048190a32224a648182b5d |
completed | May 9, 2026, 12:57 p.m. |
| PDg | Predicate description generation | batch_69ff2fb9e46c8190b36b3e0bc84f114c |
completed | May 9, 2026, 12:59 p.m. |
Created at: April 30, 2026, 11:53 p.m.