Triple
T4867355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UK Albums Chart top 5 |
E109003
|
entity |
| Predicate | rankingScope |
P59486
|
FINISHED |
| Object | top 5 positions |
—
|
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: top 5 positions | Statement: [UK Albums Chart top 5, rankingScope, top 5 positions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingScope Context triple: [UK Albums Chart top 5, rankingScope, top 5 positions]
-
A.
rankingType
Indicates the specific basis or method by which items are ordered or ranked relative to one another.
-
B.
rankingBasis
Indicates the criterion or standard used to determine the order or rank of entities in a ranking.
-
C.
rankingPoints
Indicates the number of points assigned to an entity based on its position or performance in a ranking or competition.
-
D.
rankEquivalent
Indicates that two entities hold the same rank or hierarchical level within a given ordering or classification system.
-
E.
rankingImpact
Indicates how an entity’s position or level in a ranking is affected or influenced by another factor or action.
- 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_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. |
| PDg | Predicate description generation | batch_69bd6cfa8bd881908e376ab286759cc2 |
completed | March 20, 2026, 3:51 p.m. |
Created at: March 20, 2026, 1:26 p.m.