Triple
T19686882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Draa Valley palm groves |
E472732
|
entity |
| Predicate | layeredAgriculture |
P4104
|
FINISHED |
| Object | palm overstory |
—
|
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: palm overstory | Statement: [Draa Valley palm groves, layeredAgriculture, palm overstory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: layeredAgriculture Context triple: [Draa Valley palm groves, layeredAgriculture, palm overstory]
-
A.
cultivationScale
Indicates the relative size or extent of cultivation applied to something, such as how intensively or broadly it is being cultivated.
-
B.
agriculturalPractice
chosen
Indicates a relationship where an entity engages in, applies, or is associated with a specific method or technique of agriculture or farming.
-
C.
cultivationType
Indicates the method or system by which something (typically crops or land) is cultivated or farmed.
-
D.
agricultureUse
Indicates that something is used for, involved in, or designated for agricultural activities or purposes.
-
E.
agriculturalEnvironment
Indicates that something exists in, is associated with, or is influenced by an agricultural or farming-related environment.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6420c3f50819082b64b1fa4335e56 |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:45 p.m.