Triple
T25209413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | (Bong.) Carrière |
E631640
|
entity |
| Predicate | indicatesTaxonomicReclassification |
P22033
|
FINISHED |
| Object | Sitka spruce |
—
|
NE NERFINISHED |
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: Sitka spruce | Statement: [(Bong.) Carrière, indicatesTaxonomicReclassification, Sitka spruce]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: indicatesTaxonomicReclassification Context triple: [(Bong.) Carrière, indicatesTaxonomicReclassification, Sitka spruce]
-
A.
taxonomicHistory
Indicates the historical sequence of taxonomic classifications or changes that an entity has undergone over time.
-
B.
taxonomicStatus
Indicates the formal classification status of a taxon within a taxonomic system, such as whether it is accepted, synonymized, provisional, or invalid.
-
C.
taxonomicUncertainty
Indicates uncertainty or doubt about the correct taxonomic identification or classification of an entity in relation to another.
-
D.
reclassifiedBy
chosen
Indicates that an entity’s classification or category has been changed by a specific agent or authority.
-
E.
taxonCircumscription
Indicates the taxonomic scope or boundary within which a particular taxon is defined or delimited in a classification.
- 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_69e75a8d1aa48190a4320acd3654762c |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 21, 2026, 12:58 p.m.