Triple
T15158804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hozuki-ichi |
E362151
|
entity |
| Predicate | mainProductSold |
P53553
|
FINISHED |
| Object | hozuki plants |
—
|
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: hozuki plants | Statement: [Hozuki-ichi, mainProductSold, hozuki plants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainProductSold Context triple: [Hozuki-ichi, mainProductSold, hozuki plants]
-
A.
soldProducts
Indicates that an entity has sold certain products to another entity or in a particular context.
-
B.
typicalGoodsSold
chosen
Indicates the kinds of goods or products that an entity most commonly or characteristically sells.
-
C.
soldWellIn
Indicates that something achieved strong sales performance within a particular market, region, or time period.
-
D.
soldTechnologyTo
Indicates that one entity transferred ownership or rights to a technology to another entity in exchange for compensation.
-
E.
isTypicallySoldAs
Indicates that one entity is commonly offered for sale in the form, packaging, or configuration represented by another entity.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060dd71881908ecc4a4f52d438a5 |
completed | April 15, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69deb9779acc81908ed2dad382c42dca |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:08 a.m.