Triple
T23815635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banana City of India |
E589086
|
entity |
| Predicate | cropShare |
P153648
|
FINISHED |
| Object | major share of Maharashtra’s banana production |
—
|
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: major share of Maharashtra’s banana production | Statement: [Banana City of India, cropShare, major share of Maharashtra’s banana production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cropShare Context triple: [Banana City of India, cropShare, major share of Maharashtra’s banana production]
-
A.
isCrop
Indicates that an entity functions as or is classified as an agricultural crop.
-
B.
usesCrop
Indicates that one entity employs or applies a particular crop for a specific purpose or function.
-
C.
cropMilk
Indicates that one entity extracts or expresses milk from another entity, typically by squeezing or manipulating it.
-
D.
crop
Indicates the action of cutting or trimming part of an object or image, typically to remove unwanted outer areas while keeping a selected region.
-
E.
foalCrop
Indicates a relationship where a foal is associated with or produced from a particular crop or breeding outcome.
- F. None of above. chosen
Provenance (4 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_69e25d18619081909c7fb89d8926f14a |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7aa91cc81909cc41db5c9c71fe5 |
completed | April 29, 2026, 8:56 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:58 p.m.