Triple
T12955726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Foursquare |
E310004
|
entity |
| Predicate | typicalRoofMaterial |
P62170
|
FINISHED |
| Object | wood shingles |
—
|
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: wood shingles | Statement: [American Foursquare, typicalRoofMaterial, wood shingles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRoofMaterial Context triple: [American Foursquare, typicalRoofMaterial, wood shingles]
-
A.
hasTypeOfRoof
Indicates that an entity possesses or is characterized by a specific kind or style of roof.
-
B.
roofTypeTypical
chosen
Indicates that a specified roof type is the common or characteristic roof style typically found for a given context or entity.
-
C.
roofMaterialOriginal
Indicates the material that was originally used to construct the roof of a structure.
-
D.
streetMaterial
Indicates the material composition from which a street or road surface is made.
-
E.
exteriorMaterial
Indicates the material that forms the outer surface or outer construction of an object or structure.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:44 p.m.