Triple
T4162208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabidopsis thaliana |
E91554
|
entity |
| Predicate | hasModelAdvantages |
P2188
|
FINISHED |
| Object | short generation time |
—
|
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: short generation time | Statement: [Arabidopsis thaliana, hasModelAdvantages, short generation time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModelAdvantages Context triple: [Arabidopsis thaliana, hasModelAdvantages, short generation time]
-
A.
hasMoreAdvanced
Indicates that one entity possesses a higher level of advancement, development, or sophistication compared to another entity.
-
B.
hasTradeoff
Indicates that one option or outcome involves a compromise in which gaining certain benefits requires accepting corresponding costs or disadvantages.
-
C.
hasRealModel
Indicates that an abstract, theoretical, or simplified entity is associated with a corresponding concrete or physically instantiated model in the real world.
-
D.
notableAdvantage
Indicates that one entity possesses a significant benefit, edge, or favorable quality over another entity or in a given context.
-
E.
hasBenefit
chosen
Indicates that one entity provides an advantage, improvement, or positive outcome to 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0321eee88190871c1d4bf44a5007 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018dc90c8190a754b1bfbc802e80 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:44 p.m.