Triple
T29017927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miracle Rice |
E737369
|
entity |
| Predicate | yieldComparedToTraditionalVarieties |
P32522
|
FINISHED |
| Object | higher |
—
|
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: higher | Statement: [Miracle Rice, yieldComparedToTraditionalVarieties, higher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yieldComparedToTraditionalVarieties Context triple: [Miracle Rice, yieldComparedToTraditionalVarieties, higher]
-
A.
yieldPotentialComparedToTraditionalVarieties
chosen
Indicates how the expected crop yield associated with something compares in magnitude to the yield of conventional or traditional varieties.
-
B.
growsVariety
Indicates that one entity cultivates or produces a specific variety or type of another entity.
-
C.
hasHigherVariety
Indicates that one entity offers or contains a greater diversity or range of items, types, or options than another entity.
-
D.
hasNonStandardizedVarieties
Indicates that an entity possesses forms or variants that are not governed by a uniform or officially established standard.
-
E.
notableVarieties
Indicates that there are specific, distinguished types or versions associated with an entity that are recognized as notable.
- 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_69f077ee19f881909af48f9cab00a2e5 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f65fe293188190a510c1d54a2bf542 |
completed | May 2, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:47 a.m.