Triple
T3951013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parietaria |
E84864
|
entity |
| Predicate | foundInClimate |
P44707
|
FINISHED |
| Object | temperate regions |
—
|
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: temperate regions | Statement: [Parietaria, foundInClimate, temperate regions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundInClimate Context triple: [Parietaria, foundInClimate, temperate regions]
-
A.
hasClimate
Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
-
B.
nativeToClimate
chosen
Indicates that an entity naturally originates from or is originally adapted to a specified climate or climatic region.
-
C.
hasClimateContext
Indicates that something is associated with, influenced by, or relevant to climate-related conditions, factors, or considerations.
-
D.
foundInRegion
Indicates that something is located within, occurs in, or is associated with a specific geographic or spatial region.
-
E.
foundInGeologicSetting
Indicates that something occurs, is present, or has been discovered within a particular geological environment or context.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa5afdc8190b709af2473d75d02 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8ed04e4819096bced8971cd888d |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:30 p.m.