Triple
T2010734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miles of Aisles |
E43682
|
entity |
| Predicate | hasNumberOfDiscs |
P21568
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Miles of Aisles, hasNumberOfDiscs, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfDiscs Context triple: [Miles of Aisles, hasNumberOfDiscs, 2]
-
A.
numberOfDiscs
chosen
Indicates the quantity of discs associated with or contained by a given entity.
-
B.
opticalDiscType
Indicates the specific kind or category of an optical disc involved in the relationship (e.g., CD, DVD, Blu-ray).
-
C.
hasPartInDiscography
Indicates that an entity (such as a song, album, or track) is included as a component within another entity’s discography.
-
D.
hasDiscographyType
Indicates that an entity’s discography is classified as a specific type (such as studio albums, live albums, compilations, etc.).
-
E.
standardDiscDiameter
Indicates that one entity specifies the standard diameter measurement of a disc associated with another 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8afe6f8819092679c86d1f2d041 |
completed | March 7, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69abb7a03a1c81909ad50d56667db2d5 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.