Triple
T20146264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagpur oranges |
E491309
|
entity |
| Predicate | requiresSoilType |
P586
|
FINISHED |
| Object | well-drained soil |
—
|
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-drained soil | Statement: [Nagpur oranges, requiresSoilType, well-drained soil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresSoilType Context triple: [Nagpur oranges, requiresSoilType, well-drained soil]
-
A.
hasSoil
Indicates that one entity possesses, contains, or is associated with a particular type or instance of soil.
-
B.
soilPreference
chosen
Indicates the type or condition of soil that an entity prefers or is best suited to grow or exist in.
-
C.
hasSoilProperty
Indicates that a soil entity possesses or is characterized by a specific soil-related property or attribute.
-
D.
hasSoilColor
Indicates that an entity possesses soil characterized by a specific color.
-
E.
soilRepresents
Indicates that one soil sample, type, or condition stands for, symbolizes, or serves as a proxy for another soil-related state or concept.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679e43a48190b3a5da5710b07ff7 |
completed | April 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:33 p.m.