Triple
T2115055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Britain A roads |
E42590
|
entity |
| Predicate | containsSubclass |
P21666
|
FINISHED |
| Object | primary A roads |
—
|
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: primary A roads | Statement: [Great Britain A roads, containsSubclass, primary A roads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsSubclass Context triple: [Great Britain A roads, containsSubclass, primary A roads]
-
A.
subclassOf
Indicates that one class is a more specific type of another class, inheriting its characteristics as a subset of it.
-
B.
hasSubset
Indicates that one set is entirely contained within another set, with all elements of the first set also belonging to the second.
-
C.
hasSubConcept
chosen
Indicates that one concept is a more specific, subordinate, or narrower idea within the scope of another, more general concept.
-
D.
hasSubcomponent
Indicates that one entity is a constituent part or component of another, larger entity.
-
E.
belongsToSubfamily
Indicates that one entity is a member of, or classified within, a specific subfamily of 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb0724e08190a0a4210d86261d6d |
completed | March 7, 2026, 5:43 a.m. |
| PD | Predicate disambiguation | batch_69abb7bbf9d881909d223b0cab7cab18 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.