Triple
T20107385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cash Box Top 100 top 40 |
E490217
|
entity |
| Predicate | rankingOrder |
P12242
|
FINISHED |
| Object | descending popularity |
—
|
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: descending popularity | Statement: [Cash Box Top 100 top 40, rankingOrder, descending popularity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingOrder Context triple: [Cash Box Top 100 top 40, rankingOrder, descending popularity]
-
A.
rankingType
chosen
Indicates the specific basis or method by which items are ordered or ranked relative to one another.
-
B.
rankingBehind
Indicates that one entity holds a lower or later position than another in an ordered ranking or hierarchy.
-
C.
rankingPositions
Indicates the ordered placement or level assigned to entities within a ranking or hierarchy.
-
D.
rankingScope
Indicates the context or domain within which a ranking is defined, interpreted, or applied.
-
E.
rankedBy
Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666dcb8d4819091889e19dd9137a6 |
completed | April 20, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69e54cf788188190a46cc49c9ce7617f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:28 p.m.