Triple
T19410032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kandhamal district |
E485562
|
entity |
| Predicate | hasCrops |
P54821
|
FINISHED |
| Object | turmeric |
—
|
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: turmeric | Statement: [Kandhamal district, hasCrops, turmeric]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCrops Context triple: [Kandhamal district, hasCrops, turmeric]
-
A.
numberOfCrops
Indicates the quantity or count of crops associated with a given entity or context.
-
B.
hasCropSpecies
chosen
Indicates that a particular location, field, or agricultural system is associated with or used to cultivate a specified crop species.
-
C.
containsEdibleCrop
Indicates that one entity includes within it or has present an edible crop as part of its contents or composition.
-
D.
isCultivated
Indicates that an entity is intentionally grown, managed, or maintained by humans rather than occurring or developing naturally without human intervention.
-
E.
isCultivatedAs
Indicates that one entity is intentionally grown, tended, or produced by another as a crop, resource, or cultivated organism.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af3eaa081909e9537a2c57dc6c1 |
completed | April 20, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69e4fd68b1f881908d273de1fee81a75 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:37 p.m.