Triple
T28793911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schängelbrunnen |
E727032
|
entity |
| Predicate | depictsBehavior |
P175996
|
FINISHED |
| Object | spitting water |
—
|
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: spitting water | Statement: [Schängelbrunnen, depictsBehavior, spitting water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsBehavior Context triple: [Schängelbrunnen, depictsBehavior, spitting water]
-
A.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
B.
depictsMood
Indicates that one entity visually represents or conveys the emotional state or mood of another entity.
-
C.
depictionAction
Indicates an action in which one entity visually represents, illustrates, or portrays another entity.
-
D.
depictsPractice
Indicates that one entity visually represents or portrays the practice, activity, or procedure associated with another entity.
-
E.
typicallyDepicts
Indicates that one entity is most commonly or characteristically portrayed or represented by the other in depictions or images.
- 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_69f0319b7c44819085736bcc256185e6 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6db3606808190a80c6e9f5da5b33e |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db1bc348819097c844f76e2fa4fe |
completed | May 3, 2026, 5:20 a.m. |
Created at: April 28, 2026, 6:24 a.m.