Triple
T37693777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Dependent Territories citizenship |
E938872
|
entity |
| Predicate | wasSubcategoryOf |
P81901
|
FINISHED |
| Object | British nationality |
—
|
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: British nationality | Statement: [British Dependent Territories citizenship, wasSubcategoryOf, British nationality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasSubcategoryOf Context triple: [British Dependent Territories citizenship, wasSubcategoryOf, British nationality]
-
A.
subclassOf
Indicates that one class is a more specific type of another class, inheriting its characteristics as a subset of it.
-
B.
hasNationalSubcategory
Indicates that something is classified under a more specific national-level category within a broader classification system.
-
C.
subbranchOf
Indicates that one entity is a subordinate or secondary branch derived from, and structurally dependent on, another entity.
-
D.
subgroupCategory
Indicates that one category functions as a more specific subgroup within the scope of another, broader category.
-
E.
categorySubdivision
chosen
Indicates that one category functions as a subdivision or subcategory within another broader category.
- 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_69f76eda6ae48190b3111071eeacc038 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.