Triple
T1182510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stiftsgården, Trondheim |
E25168
|
entity |
| Predicate | façadeColor |
P19770
|
FINISHED |
| Object | yellow |
—
|
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: yellow | Statement: [Stiftsgården, Trondheim, façadeColor, yellow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: façadeColor Context triple: [Stiftsgården, Trondheim, façadeColor, yellow]
-
A.
exteriorColor
chosen
Indicates the relationship that specifies the color on the outside surface of an entity.
-
B.
façadeOrientation
Indicates the directional orientation that a building’s façade faces relative to a reference (e.g., cardinal directions or a main street).
-
C.
buildingChamberColor
Indicates the color relationship between a building and one of its chambers or interior spaces.
-
D.
frontageMaterial
Indicates the material used on the exterior front-facing surface of a structure or property.
-
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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd35fb888190adf1e5d0615fa725 |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb59ca6c81908597a81646674aaa |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.