Triple
T4013785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhengyia |
E90706
|
entity |
| Predicate | likelyGrowthForm |
P571
|
FINISHED |
| Object | herbaceous plant |
—
|
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: herbaceous plant | Statement: [Zhengyia, likelyGrowthForm, herbaceous plant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: likelyGrowthForm Context triple: [Zhengyia, likelyGrowthForm, herbaceous plant]
-
A.
growthForm
chosen
Indicates the physical structure or habit in which something develops or grows (such as its overall shape, form, or growth pattern).
-
B.
growthType
Indicates the manner or pattern in which something develops or increases over time.
-
C.
growthProperty
Indicates that one entity characterizes, constrains, or quantifies how another entity grows or changes in magnitude over some parameter (such as time, size, or input).
-
D.
hasGrowthRate
Indicates the rate at which something increases in size, quantity, or value over a given period of time.
-
E.
isGrowthOriented
Indicates that an entity prioritizes expansion, development, or improvement as a primary focus or guiding principle.
- 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_69aed95e44088190aff7d90a151b1b20 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaec08dc8190a341809059554f84 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fa6fec81909b1190ecbba61410 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:35 p.m.