Triple
T30071126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | new-build P2 No. 2007 Prince of Wales |
E764184
|
entity |
| Predicate | basedOnClass |
P93688
|
FINISHED |
| Object | LNER Class P2 |
—
|
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: LNER Class P2 | Statement: [new-build P2 No. 2007 Prince of Wales, basedOnClass, LNER Class P2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnClass Context triple: [new-build P2 No. 2007 Prince of Wales, basedOnClass, LNER Class P2]
-
A.
basedOnType
chosen
Indicates that one entity is derived, determined, or classified according to the type or category of another entity.
-
B.
basedOnBy
Indicates that one entity is derived from, justified by, or constructed using another entity as its source, foundation, or reference.
-
C.
isBasedOn
Indicates that one entity is derived from, inspired by, or developed using the content, structure, or principles of another entity.
-
D.
basedOnAspect
Indicates that one entity is derived, determined, or defined according to a particular aspect, feature, or dimension of another entity.
-
E.
basedOnStrategyOf
Indicates that one entity’s strategy is derived from, influenced by, or constructed using the strategy 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_69f2247221388190a13a22c47094a0ef |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
Created at: April 29, 2026, 7 p.m.