Triple
T29271647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trabant car (in Birgit Kinder’s mural) |
E742132
|
entity |
| Predicate | hasVisualContext |
P99801
|
FINISHED |
| Object | cracked Berlin Wall surface |
—
|
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: cracked Berlin Wall surface | Statement: [Trabant car (in Birgit Kinder’s mural), hasVisualContext, cracked Berlin Wall surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVisualContext Context triple: [Trabant car (in Birgit Kinder’s mural), hasVisualContext, cracked Berlin Wall surface]
-
A.
hasDesignContext
Indicates that something is associated with, or defined within, a particular design context or design environment.
-
B.
hasVisualCharacter
chosen
Indicates that one entity possesses or exhibits a particular visual appearance, style, or graphical characteristic defined by another entity.
-
C.
hasVisualFocus
Indicates that one entity is currently directing its visual attention or gaze toward another entity.
-
D.
hasVegetationContext
Indicates that an entity is associated with, occurs within, or is characterized by a particular type or condition of vegetation.
-
E.
hasVisualIndicator
Indicates that an entity is associated with some form of visual cue or marker that signals its status, condition, or presence.
- 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_69f0912124d48190a046642b69407f4c |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 28, 2026, 12:48 p.m.