Triple
T10626756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valaskjálf |
E250342
|
entity |
| Predicate | materialDescriptor |
P49968
|
FINISHED |
| Object | all covered with silver |
—
|
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: all covered with silver | Statement: [Valaskjálf, materialDescriptor, all covered with silver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialDescriptor Context triple: [Valaskjálf, materialDescriptor, all covered with silver]
-
A.
materialDescribedAs
chosen
Indicates that a material is characterized or specified using a particular descriptive term, label, or textual description.
-
B.
material
Indicates that one entity is physically composed of, made from, or constructed using the substance or material represented by the other entity.
-
C.
materialDepicted
Indicates that a work or representation visually portrays or includes a particular material as part of its subject.
-
D.
materialConcept
Indicates that one entity represents or refers to a material-related concept associated with another entity.
-
E.
materialOptions
Indicates that there are one or more possible materials that can be chosen or applied in relation to a given entity or context.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df8207f08190a6362a8ba00988b2 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7fae088190973f70c69738af49 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 8:55 p.m.