Triple
T4162161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glycine max |
E91553
|
entity |
| Predicate | GMTrait |
P54192
|
FINISHED |
| Object | herbicide 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: herbicide tolerance | Statement: [Glycine max, GMTrait, herbicide tolerance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GMTrait Context triple: [Glycine max, GMTrait, herbicide tolerance]
-
A.
hasSupportingCharacterTrait
Indicates that a supporting character possesses a particular trait, quality, or characteristic.
-
B.
eraType
Indicates the classification of a time period or era according to its type or category.
-
C.
metricalFeature
Indicates a relationship where one entity specifies or characterizes a metrical property or pattern of another entity.
-
D.
eraCharacter
Indicates that a character is associated with, or belongs to, a particular historical or fictional era.
-
E.
initialTrait
Indicates that a particular trait or characteristic is present in an entity at the beginning of a process, state, or time period.
- 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_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. |
| PDg | Predicate description generation | batch_69af0320775c8190b90d80f512060f1c |
completed | March 9, 2026, 5:28 p.m. |
Created at: March 9, 2026, 3:44 p.m.