Triple
T4162099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glycine max |
E91553
|
entity |
| Predicate | oilContentRange |
P38323
|
FINISHED |
| Object | 18–22 percent of seed dry weight |
—
|
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: 18–22 percent of seed dry weight | Statement: [Glycine max, oilContentRange, 18–22 percent of seed dry weight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oilContentRange Context triple: [Glycine max, oilContentRange, 18–22 percent of seed dry weight]
-
A.
oilContent
chosen
Indicates the amount or proportion of oil present in a given substance, material, or item.
-
B.
oilType
Indicates the specific kind or classification of oil associated with an entity.
-
C.
containsOilField
Indicates that one entity geographically includes or encompasses an oil field within its boundaries.
-
D.
oilReleaseDuration
Indicates the length of time over which oil is or was released in a given event or process.
-
E.
hydrocarbonPotential
Indicates the degree to which a geological unit or material is capable of generating, containing, or yielding hydrocarbons such as oil or natural gas.
- 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.