Triple
T5395731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Dionysus (Delos) |
E120649
|
entity |
| Predicate | mosaicMaterial |
P63728
|
FINISHED |
| Object | stone tesserae |
—
|
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: stone tesserae | Statement: [House of Dionysus (Delos), mosaicMaterial, stone tesserae]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mosaicMaterial Context triple: [House of Dionysus (Delos), mosaicMaterial, stone tesserae]
-
A.
materialDepicted
Indicates that a work or representation visually portrays or includes a particular material as part of its subject.
-
B.
exampleMaterial
Indicates that something serves as a representative or illustrative material or sample of something else.
-
C.
materialParameter
Indicates a relationship where a specific parameter or property is associated with, or characterizes, a material in a given context.
-
D.
hasMosaic
Indicates that one entity possesses, contains, or is decorated with a mosaic.
-
E.
streetMaterial
Indicates the material composition from which a street or road surface is made.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8932b8bc8190bd31e11b167a7212 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd84660ea08190a641084814fcf94d |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd8931302c81908afcb0f011e91f09 |
completed | March 20, 2026, 5:51 p.m. |
Created at: March 20, 2026, 2:04 p.m.