Triple
T8890836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Miss My Friend |
E211659
|
entity |
| Predicate | hasTrackContext |
P85564
|
FINISHED |
| Object | non-single album track |
—
|
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: non-single album track | Statement: [I Miss My Friend, hasTrackContext, non-single album track]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrackContext Context triple: [I Miss My Friend, hasTrackContext, non-single album track]
-
A.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
B.
isTrackEvent
Indicates that an event is classified as a track-related occurrence, such as a specific action or interaction being recorded for tracking or analytics purposes.
-
C.
hasCenterTrackUsage
Indicates that an entity utilizes or is assigned to a central track within a multi-track system or layout.
-
D.
hasDropTrack
Indicates that an entity includes or is associated with a track or section where a drop (sudden descent or fall) occurs.
-
E.
hasTransportContext
Indicates that there exists a transportation-related situation, setting, or conditions under which the associated entities or actions take place.
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc619188508190aacda410f0b4c98d |
completed | April 1, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2aec04819093c932fe51c0f08d |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5d6e54808190af4156edd4c8ffbc |
completed | March 31, 2026, 11:49 p.m. |
Created at: March 30, 2026, 6:53 p.m.