Triple
T3529094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waldo County, Maine |
E74613
|
entity |
| Predicate | hasPlantHardinessZone |
P49287
|
FINISHED |
| Object | humid continental climate |
—
|
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: humid continental climate | Statement: [Waldo County, Maine, hasPlantHardinessZone, humid continental climate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlantHardinessZone Context triple: [Waldo County, Maine, hasPlantHardinessZone, humid continental climate]
-
A.
growsOn
Indicates that one entity develops or increases in size, number, or extent while being physically supported by or attached to another entity.
-
B.
growsIn
Indicates that one entity develops, thrives, or increases in size or number within a specified environment, medium, or location.
-
C.
hardiness
Indicates the degree to which an entity can withstand or endure harsh, adverse, or challenging conditions.
-
D.
isPlantOf
Indicates that one entity is a plant that belongs to, is associated with, or is characteristic of another entity (such as a region, habitat, or owner).
-
E.
growingSeason
Indicates the period of the year during which growth or development actively occurs for the referenced entity.
- 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_69ad85d1a3948190931fd1ea1f49717b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc6e9188819093480b39f263ce75 |
completed | March 8, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69adae121a048190b03825a001d21f49 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb21a437c81908bca88d5e123d744 |
completed | March 8, 2026, 5:30 p.m. |
Created at: March 8, 2026, 3:19 p.m.