Triple
T34626010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roublot |
E889137
|
entity |
| Predicate | cultivationExtent |
P113194
|
FINISHED |
| Object | limited |
—
|
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: limited | Statement: [Roublot, cultivationExtent, limited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cultivationExtent Context triple: [Roublot, cultivationExtent, limited]
-
A.
cultivationScale
chosen
Indicates the relative size or extent of cultivation applied to something, such as how intensively or broadly it is being cultivated.
-
B.
isCultivated
Indicates that an entity is intentionally grown, managed, or maintained by humans rather than occurring or developing naturally without human intervention.
-
C.
cultivatedAlong
Indicates that one entity is grown or farmed in proximity to or in parallel with another entity, typically within the same area or setting.
-
D.
isCultivatedAs
Indicates that one entity is intentionally grown, tended, or produced by another as a crop, resource, or cultivated organism.
-
E.
cultivationType
Indicates the method or system by which something (typically crops or land) is cultivated or farmed.
- 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_69f349d64a388190a013cfa9bd33fad7 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:04 a.m.