Triple
T5389857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitayama sugi |
E120293
|
entity |
| Predicate | cultivationMethod |
P4104
|
FINISHED |
| Object | intensive silviculture |
—
|
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: intensive silviculture | Statement: [Kitayama sugi, cultivationMethod, intensive silviculture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cultivationMethod Context triple: [Kitayama sugi, cultivationMethod, intensive silviculture]
-
A.
agriculturalPractice
chosen
Indicates a relationship where an entity engages in, applies, or is associated with a specific method or technique of agriculture or farming.
-
B.
isCultivatedAs
Indicates that one entity is intentionally grown, tended, or produced by another as a crop, resource, or cultivated organism.
-
C.
cultivatedFor
Indicates that one entity is intentionally grown, raised, or developed for the benefit, use, or purpose of another entity.
-
D.
cultivationRequirement
Indicates the specific conditions or resources that must be met or provided for something to be successfully cultivated.
-
E.
cultivatedOutdoors
Indicates that something is grown or produced outside in natural or open-air conditions rather than indoors or in controlled environments.
- 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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd8716ae9c8190a729222a8b9eb460 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd8463a9c88190bd760378f3026180 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:04 p.m.