Triple
T8395144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | western red cedar |
E198034
|
entity |
| Predicate | genus |
P87
|
FINISHED |
| Object | Thuja |
E16390
|
NE 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: Thuja | Statement: [western red cedar, genus, Thuja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thuja Context triple: [western red cedar, genus, Thuja]
-
A.
Thuja
chosen
Thuja is a genus of evergreen coniferous trees and shrubs commonly known as arborvitae, widely used in ornamental landscaping and hedging.
-
B.
Chamaecyparis
Chamaecyparis is a genus of evergreen coniferous trees commonly known as false cypresses, valued in horticulture and timber production.
-
C.
Cryptomeria
Cryptomeria is a genus of large, evergreen coniferous trees native to East Asia, best known for the Japanese cedar widely used in timber and ornamental planting.
-
D.
Sciadopitys
Sciadopitys is a unique, ancient conifer genus best known for the Japanese umbrella pine, a slow-growing ornamental tree endemic to Japan.
-
E.
Cupressus
Cupressus is a genus of evergreen coniferous trees in the cypress family, known for their aromatic wood and scale-like leaves.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb81874d6c8190bbc0ac832d8a339d |
completed | March 31, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde85ee7b08190bfbcbed0edb142dd |
completed | April 2, 2026, 3:54 a.m. |
Created at: March 30, 2026, 6:03 p.m.