Triple
T13857064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo 2020 torch relay |
E333093
|
entity |
| Predicate | torchShape |
P111795
|
FINISHED |
| Object | cherry blossom motif |
—
|
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: cherry blossom motif | Statement: [Tokyo 2020 torch relay, torchShape, cherry blossom motif]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: torchShape Context triple: [Tokyo 2020 torch relay, torchShape, cherry blossom motif]
-
A.
torchType
Indicates the specific kind or category of torch associated with an entity.
-
B.
inputShape
Indicates the geometric form or configuration that is provided as input to a process, function, or system.
-
C.
tensorRank
Indicates the rank (number of indices or dimensions) associated with a given tensor.
-
D.
torchDesign
Indicates that an entity is responsible for creating or specifying the design of a torch.
-
E.
hasShapeModel
Indicates that an entity is associated with a specific geometric or structural shape model that represents its form.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02dc9f488190b7181dcb7e304632 |
completed | April 14, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:14 p.m.