Triple
T22417699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yasakani no Magatama |
E554164
|
entity |
| Predicate | relatedArtifactType |
P148090
|
FINISHED |
| Object | magatama |
—
|
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: magatama | Statement: [Yasakani no Magatama, relatedArtifactType, magatama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedArtifactType Context triple: [Yasakani no Magatama, relatedArtifactType, magatama]
-
A.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
B.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
C.
associatedItem
Indicates that one item is linked or connected to another in a relevant or context-dependent way, without specifying a more precise relationship.
-
D.
relatedInstrumentType
Indicates that one instrument is associated with or connected to another by type, such as being a variant, subtype, or closely related form.
-
E.
relatedToTerm
Indicates a general, non-specific relationship or association between one term and another.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15947dcc08190a584636f87669316 |
completed | April 29, 2026, 1:05 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:46 p.m.