Triple
T8495498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IR8 |
E201088
|
entity |
| Predicate | yieldCharacteristic |
P662
|
FINISHED |
| Object | responds strongly to nitrogen fertilizer |
—
|
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: responds strongly to nitrogen fertilizer | Statement: [IR8, yieldCharacteristic, responds strongly to nitrogen fertilizer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yieldCharacteristic Context triple: [IR8, yieldCharacteristic, responds strongly to nitrogen fertilizer]
-
A.
runtimeCharacteristic
Indicates a relationship where a system, process, or component is associated with a property or behavior that specifically manifests during its execution or operation time.
-
B.
yieldClassification
Indicates how an outcome, result, or production level is categorized or labeled according to predefined yield criteria.
-
C.
resultCharacterization
Indicates how the outcome of an event, process, or action is qualitatively described or characterized.
-
D.
characterizedBy
chosen
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
E.
yieldLevel
Indicates the degree or amount of output or production resulting from a process, resource, or 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_69ca831ee390819095fae73400bbfafc |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe57dbe488190af5f06faf862cd5d |
completed | March 31, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69cbd10a4b0881909e254117780dc823 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:13 p.m.