Triple
T30586873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oryza schlechteri |
E778537
|
entity |
| Predicate | hasPotentialTrait |
P58576
|
FINISHED |
| Object | stress tolerance |
—
|
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: stress tolerance | Statement: [Oryza schlechteri, hasPotentialTrait, stress tolerance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPotentialTrait Context triple: [Oryza schlechteri, hasPotentialTrait, stress tolerance]
-
A.
hasPotential
chosen
Indicates that an entity possesses the capacity or possibility to develop, achieve, or exhibit a particular state, quality, or outcome in the future.
-
B.
containsTrait
Indicates that one entity possesses, exhibits, or is characterized by a specified trait.
-
C.
hasCommonTraitWith
Indicates that two entities share at least one trait, characteristic, or property in common.
-
D.
hasFamilyTrait
Indicates that a particular trait or characteristic is shared among members of the same family or lineage.
-
E.
hasSupportingCharacterTrait
Indicates that a supporting character possesses a particular trait, quality, or characteristic.
- 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_69f224a04b248190b0ca443ec86207b8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fde49a084081909d99b1e0258169d5 |
completed | May 8, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69fde1d04bd881909a46ecbbf18dfe59 |
completed | May 8, 2026, 1:14 p.m. |
Created at: April 29, 2026, 8:23 p.m.