Triple
T30461145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oryza minuta |
E775009
|
entity |
| Predicate | donorOf |
P169465
|
FINISHED |
| Object | resistance genes for cultivated rice |
—
|
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: resistance genes for cultivated rice | Statement: [Oryza minuta, donorOf, resistance genes for cultivated rice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: donorOf Context triple: [Oryza minuta, donorOf, resistance genes for cultivated rice]
-
A.
donatedWith
Indicates that an entity made a donation using, accompanied by, or in association with a particular method, item, or context.
-
B.
notableDonor
Indicates that one entity is a significant or prominent donor to another entity, typically through substantial or noteworthy contributions.
-
C.
donates
Indicates the act of voluntarily giving something of value, such as money, goods, or time, from one entity to another without expecting payment in return.
-
D.
donated
Indicates that one entity voluntarily gave something of value (such as money, goods, or time) to another entity, typically without expecting anything in return.
-
E.
isDonorProgramOf
Indicates that one entity is a donor program that provides funding or resources to support another entity.
- 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_69f22494fb60819095d893de0284f886 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f686f01dc88190a6ca46fc5c80a486 |
completed | May 2, 2026, 11:21 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 8:10 p.m.