Triple
T20992768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grange-in-Borrowdale |
E517065
|
entity |
| Predicate | roofMaterialTypical |
P142395
|
FINISHED |
| Object | slate |
—
|
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: slate | Statement: [Grange-in-Borrowdale, roofMaterialTypical, slate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roofMaterialTypical Context triple: [Grange-in-Borrowdale, roofMaterialTypical, slate]
-
A.
roofTypeTypical
Indicates that a specified roof type is the common or characteristic roof style typically found for a given context or entity.
-
B.
roofMaterialOriginal
Indicates the material that was originally used to construct the roof of a structure.
-
C.
hasTypeOfRoof
Indicates that an entity possesses or is characterized by a specific kind or style of roof.
-
D.
roofOptions
Indicates the available types or configurations of roofs that can be selected or applied to an entity.
-
E.
roofStructures
Indicates a relationship where one entity consists of, includes, or is associated with roof-related structural elements of another entity.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc1d829081908de889c542734393 |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:50 p.m.