Triple
T4867392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UK Albums Chart top 5 |
E109003
|
entity |
| Predicate | hasMaximumSize |
P56985
|
FINISHED |
| Object | 5 albums |
—
|
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: 5 albums | Statement: [UK Albums Chart top 5, hasMaximumSize, 5 albums]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaximumSize Context triple: [UK Albums Chart top 5, hasMaximumSize, 5 albums]
-
A.
hasMinimumSize
Indicates that an entity meets or exceeds a specified minimum size threshold.
-
B.
hasMaximumValue
Indicates that one value in a set is the greatest or highest possible according to a specified criterion.
-
C.
hasMaximumLength
chosen
Indicates that there is an upper limit on the length or size of something, beyond which it cannot extend.
-
D.
hasMaxLengthApprox
Indicates that something has a maximum length that is approximately equal to a specified value, allowing for some tolerance or imprecision.
-
E.
hasSize
Indicates that one entity possesses a particular physical magnitude or extent, such as length, volume, or overall dimensions.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d7bb0b88190bbc24498619910fc |
completed | March 20, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69bd6c27334481909ba8ac80854f7d8e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.