Triple
T36406345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BWF World Tour |
E896757
|
entity |
| Predicate | tierDefinition |
P109404
|
FINISHED |
| Object | Super 1000 as highest regular tour level |
—
|
NE NERFINISHED |
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: Super 1000 as highest regular tour level | Statement: [BWF World Tour, tierDefinition, Super 1000 as highest regular tour level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tierDefinition Context triple: [BWF World Tour, tierDefinition, Super 1000 as highest regular tour level]
-
A.
tierType
Indicates the classification level or rank assigned to an entity within a multi-level or hierarchical system.
-
B.
tierConfiguration
Indicates how entities are organized or assigned into different levels or tiers according to a defined configuration or scheme.
-
C.
tierDescription
chosen
Indicates the descriptive text that explains or characterizes a specific tier or level within a hierarchy or classification.
-
D.
tierCount
Indicates the number of distinct levels, ranks, or layers associated with an entity in a hierarchical or tiered structure.
-
E.
tierDeterminedBy
Indicates that the classification level or rank of one entity is decided or derived based on the properties, status, or outcome 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.