Triple
T14909149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cryptocarya alba |
E371212
|
entity |
| Predicate | characteristicSpeciesOf |
P109533
|
FINISHED |
| Object | Chilean matorral |
—
|
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: Chilean matorral | Statement: [Cryptocarya alba, characteristicSpeciesOf, Chilean matorral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characteristicSpeciesOf Context triple: [Cryptocarya alba, characteristicSpeciesOf, Chilean matorral]
-
A.
characteristicTaxon
chosen
Indicates that one taxon is characteristic or typical of another taxonomic group, such as serving as a defining or representative member.
-
B.
featuresSpecies
Indicates that something includes, presents, or highlights a particular species as part of its content or composition.
-
C.
faunaCharacteristic
Indicates that an entity has a specific trait, feature, or quality related to animals or animal life.
-
D.
notableSpecies
Indicates that the subject is known for, or significantly associated with, the specified species.
-
E.
speciesType
Indicates the specific biological species category to which an entity belongs.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61c6b9c8190a92934d49b98fe46 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:25 a.m.