Triple
T10213697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ginkgoales |
E242390
|
entity |
| Predicate | currentNaturalDistribution |
P2178
|
FINISHED |
| Object | restricted in the wild in China |
—
|
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: restricted in the wild in China | Statement: [Ginkgoales, currentNaturalDistribution, restricted in the wild in China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentNaturalDistribution Context triple: [Ginkgoales, currentNaturalDistribution, restricted in the wild in China]
-
A.
naturalOccurrence
Indicates that the related event or phenomenon happens in nature without direct human intervention or artificial cause.
-
B.
geographicDistribution
chosen
Indicates the spatial range or area over which something occurs, exists, or is found.
-
C.
nearNaturalRegion
Indicates that one entity is located close to a specified natural region or area in geographic space.
-
D.
hasNature
Indicates that something possesses, exhibits, or is characterized by a particular inherent quality, essence, or fundamental type.
-
E.
populationPattern
Indicates how a population is distributed, structured, or changes over space or time in relation to other entities or conditions.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa24efc081909714d98943543283 |
completed | April 6, 2026, 12:42 p.m. |
| PD | Predicate disambiguation | batch_69d39559e5ac8190b88eca75956b7e6a |
completed | April 6, 2026, 11:13 a.m. |
Created at: April 6, 2026, 11:03 a.m.