Triple
T31243514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All the Best! |
E796623
|
entity |
| Predicate | hasDifferentTrackListingIn |
P69779
|
FINISHED |
| Object | United Kingdom |
—
|
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: United Kingdom | Statement: [All the Best!, hasDifferentTrackListingIn, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDifferentTrackListingIn Context triple: [All the Best!, hasDifferentTrackListingIn, United Kingdom]
-
A.
hasDifferentMusicFrom
Indicates that two entities have music that is not the same in style, content, or identity.
-
B.
containsAdditionalTracksBeyond
chosen
Indicates that one entity includes more tracks or items than are present in another referenced set or version.
-
C.
hasTwoTracks
Indicates that the subject possesses or is associated with exactly two distinct tracks or pathways.
-
D.
trackListingIncludes
Indicates that a track listing contains or features a specific track as one of its listed items.
-
E.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
- 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fdfbafe32081909c62653ff4fc155c |
completed | May 8, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69fdf64db4a881908f8250e24ae3cefb |
completed | May 8, 2026, 2:42 p.m. |
Created at: April 29, 2026, 9:11 p.m.