Triple
T30080516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 18 (deluxe edition) |
E764442
|
entity |
| Predicate | hasTrackCountRelation |
P1707
|
FINISHED |
| Object | more tracks than Glory (standard edition) |
—
|
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: more tracks than Glory (standard edition) | Statement: [18 (deluxe edition), hasTrackCountRelation, more tracks than Glory (standard edition)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrackCountRelation Context triple: [18 (deluxe edition), hasTrackCountRelation, more tracks than Glory (standard edition)]
-
A.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
B.
numberOfTracks
chosen
Indicates the quantity of tracks associated with a given entity.
-
C.
hasTrackSequenceConcept
Indicates that one entity is associated with a conceptual representation of the ordered sequence of tracks or track elements related to it.
-
D.
hasTrackSection
Indicates that an entity includes, is composed of, or is associated with a specific section or segment of a track.
-
E.
containsTrackType
Indicates that one entity includes or is associated with a specific type or category of track.
- 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_69f22472eee081909791dc372aa766e9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
Created at: April 29, 2026, 7:02 p.m.