Triple
T17324053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kent County League |
E420637
|
entity |
| Predicate | tierType |
P127006
|
FINISHED |
| Object | non-league football |
—
|
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: non-league football | Statement: [Kent County League, tierType, non-league football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tierType Context triple: [Kent County League, tierType, non-league football]
-
A.
tierConfiguration
Indicates how entities are organized or assigned into different levels or tiers according to a defined configuration or scheme.
-
B.
tierCount
Indicates the number of distinct levels, ranks, or layers associated with an entity in a hierarchical or tiered structure.
-
C.
tierInNorthAmericanSystem
Indicates that an entity occupies a specified competitive or organizational level within the North American system for that domain (e.g., sports leagues, education, or other structured hierarchies).
-
D.
ridgeType
Indicates the specific morphological or structural category that a ridge belongs to within a classification of ridge forms.
-
E.
tierDescription
Indicates the descriptive text that explains or characterizes a specific tier or level within a hierarchy or classification.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d0cf2481908a018593ef39fd18 |
completed | April 19, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:43 a.m.