Triple
T30091778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciliegiolo |
E764752
|
entity |
| Predicate | cultivationPreference |
P32783
|
FINISHED |
| Object | well-exposed sites |
—
|
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: well-exposed sites | Statement: [Ciliegiolo, cultivationPreference, well-exposed sites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cultivationPreference Context triple: [Ciliegiolo, cultivationPreference, well-exposed sites]
-
A.
cultivationType
Indicates the method or system by which something (typically crops or land) is cultivated or farmed.
-
B.
cultivationRequirement
chosen
Indicates the specific conditions or resources that must be met or provided for something to be successfully cultivated.
-
C.
cultivatedFor
Indicates that one entity is intentionally grown, raised, or developed for the benefit, use, or purpose of another entity.
-
D.
cultivationScale
Indicates the relative size or extent of cultivation applied to something, such as how intensively or broadly it is being 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67d7064188190a7cc837036437d1b |
completed | May 2, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:06 p.m.