Triple
T4968903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buckets of Rain |
E111595
|
entity |
| Predicate | trackNumberOnBloodOnTheTracks |
P7270
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Buckets of Rain, trackNumberOnBloodOnTheTracks, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trackNumberOnBloodOnTheTracks Context triple: [Buckets of Rain, trackNumberOnBloodOnTheTracks, 10]
-
A.
trackNumberOnAlbum
chosen
Indicates the specific position or sequence number that a track occupies on an album.
-
B.
tracksIndex
Indicates that one entity maintains or records the position, order, or index of another entity within a sequence or collection.
-
C.
tracks
Indicates that one entity monitors, follows, or keeps a record of another entity’s state, behavior, or progress over time.
-
D.
trackType
Indicates the specific kind or category of track associated with an entity, such as its functional or physical classification.
-
E.
numberOfTracks
Indicates the quantity of tracks associated with a given entity.
- 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd72e49b048190bac55d9e7a6f7963 |
completed | March 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69bd71447fe88190bb62c5e8753da7a7 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:32 p.m.