Triple
T29242776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Rice Research Institute breeding program |
E741357
|
entity |
| Predicate | targetsTrait |
P97361
|
FINISHED |
| Object | high yield potential |
—
|
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: high yield potential | Statement: [International Rice Research Institute breeding program, targetsTrait, high yield potential]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetsTrait Context triple: [International Rice Research Institute breeding program, targetsTrait, high yield potential]
-
A.
targetFeature
chosen
Indicates that one entity is the specific feature, attribute, or characteristic that another entity is directed toward, focused on, or intended to affect.
-
B.
loreTrait
Indicates that an entity possesses a specific lore-related characteristic or attribute within a fictional or narrative context.
-
C.
focusTrait
Indicates that one entity is characterized by, or primarily associated with, a particular trait or attribute of another entity.
-
D.
distinguishingTrait
Indicates that a particular characteristic or feature uniquely differentiates one entity from another.
-
E.
studiesTrait
Indicates that one entity conducts research or examination focused on a particular trait or characteristic of another entity.
- 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_69f0911dd6fc819097d1abb287016489 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: April 28, 2026, 12:31 p.m.