Triple
T6229565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billboard Modern Rock Tracks top 10 |
E139319
|
entity |
| Predicate | maximumEntries |
P69034
|
FINISHED |
| Object | 10 songs |
—
|
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 songs | Statement: [Billboard Modern Rock Tracks top 10, maximumEntries, 10 songs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumEntries Context triple: [Billboard Modern Rock Tracks top 10, maximumEntries, 10 songs]
-
A.
maximumCapacity
Indicates the greatest allowable or designed amount of something that an entity can hold, contain, or handle.
-
B.
maximumTermCount
Indicates the highest number of terms that are allowed or considered within a given context or operation.
-
C.
maxFileSize
Indicates the maximum allowable size limit for a file in the given context.
-
D.
currentCapacity
Indicates the present amount of capacity an entity is using or able to provide at a given time.
-
E.
maximumVolumeSize
Indicates the largest allowable size or capacity that a volume can have within a given system or context.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062d9a33c8190b66dbd89e0e3bbba |
completed | March 22, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c055ffdf54819086d987d646e44ff5 |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056c965ac8190b938502fa8c74e1b |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:22 p.m.