Triple
T3214950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goshichi no kiri |
E67370
|
entity |
| Predicate | elementCountDescription |
P46259
|
FINISHED |
| Object | three clusters of paulownia flowers |
—
|
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: three clusters of paulownia flowers | Statement: [Goshichi no kiri, elementCountDescription, three clusters of paulownia flowers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elementCountDescription Context triple: [Goshichi no kiri, elementCountDescription, three clusters of paulownia flowers]
-
A.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
-
B.
numberOfCells
Indicates the total count of individual cells associated with or contained in a given entity.
-
C.
displayCount
Indicates the number of times something is shown or presented, typically within a given context or interface.
-
D.
collectionSize
Indicates the total number of items contained within a specified collection.
-
E.
hasComponentCount
Indicates that an entity is associated with a specific number of components it contains or comprises.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adab085a408190af9fb40acca31a5f |
completed | March 8, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69ad9e09b83881908801d79c3d9254f9 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f9259c8190afbc5ad0fa55436b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:07 p.m.