Triple
T24598646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanuatu sand drawings |
E608751
|
entity |
| Predicate | drawingSurface |
P15587
|
FINISHED |
| Object | prepared flat sand 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: prepared flat sand surface | Statement: [Vanuatu sand drawings, drawingSurface, prepared flat sand surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drawingSurface Context triple: [Vanuatu sand drawings, drawingSurface, prepared flat sand surface]
-
A.
paintingSurface
chosen
Indicates that one entity serves as the physical surface or material on which another entity is painted or depicted.
-
B.
drawingModel
Indicates that one entity serves as a drawing or visual representation model used to depict, design, or illustrate another entity.
-
C.
draws
Indicates that one entity creates a visual representation or image of another entity.
-
D.
targetSurface
Indicates the surface or area that an action, effect, or object is directed at or intended to impact.
-
E.
laterSurface
Indicates that one surface or layer occurs or appears at a later time than another surface or layer in a sequence or process.
- 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_69e2c4cf54248190af7b0c2d9ade9830 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:30 a.m.