Triple
T3676310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergels torg |
E77999
|
entity |
| Predicate | hasPavingPattern |
P14456
|
FINISHED |
| Object | black and white triangles |
—
|
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: black and white triangles | Statement: [Sergels torg, hasPavingPattern, black and white triangles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPavingPattern Context triple: [Sergels torg, hasPavingPattern, black and white triangles]
-
A.
pavedWith
chosen
Indicates that a surface or area is covered or constructed using a specified material as its paving.
-
B.
roofPatternInspiredBy
Indicates that the design or arrangement of a roof follows or is derived from a particular pattern, style, or source of inspiration.
-
C.
hasWallTileColor
Indicates that an entity’s wall tiles possess a specific color.
-
D.
airingPattern
Indicates the recurring schedule or pattern according to which something (such as a program or content) is broadcast or made available.
-
E.
hasStreetGridPattern
Indicates that an area’s street layout follows a structured, grid-like pattern of intersecting roads.
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc462ffdc8190896e9f98f648e2f3 |
completed | March 8, 2026, 6:48 p.m. |
| PD | Predicate disambiguation | batch_69adb84be1fc81909721c871babb4633 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.