Triple
T12119316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claytonia |
E288648
|
entity |
| Predicate | growthCycle |
P26502
|
FINISHED |
| Object | perennial (in many species) |
—
|
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: perennial (in many species) | Statement: [Claytonia, growthCycle, perennial (in many species)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: growthCycle Context triple: [Claytonia, growthCycle, perennial (in many species)]
-
A.
growthStatus
Indicates the current stage or condition of development or progress of an entity over time.
-
B.
growthMethod
Indicates the method or process by which something increases, develops, or expands over time.
-
C.
growthType
chosen
Indicates the manner or pattern in which something develops or increases over time.
-
D.
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).
-
E.
growthForm
Indicates the physical structure or habit in which something develops or grows (such as its overall shape, form, or growth pattern).
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9164ada5081908676bd9e5947268a |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150497408190921334d21503375a |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.