Triple
T12037000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CITES Appendix I |
E286564
|
entity |
| Predicate | examplesOfListedTaxa |
P14743
|
FINISHED |
| Object | great apes |
—
|
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: great apes | Statement: [CITES Appendix I, examplesOfListedTaxa, great apes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: examplesOfListedTaxa Context triple: [CITES Appendix I, examplesOfListedTaxa, great apes]
-
A.
taxonOf
Indicates that one entity is the taxonomic group (taxon) to which the other entity belongs.
-
B.
includesExampleTaxon
chosen
Indicates that a taxonomic group or concept contains a specific taxon used as an illustrative or representative example.
-
C.
notableSpecies
Indicates that the subject is known for, or significantly associated with, the specified species.
-
D.
commonNameOfNotableSpecies
Indicates that the subject is a commonly used vernacular or everyday name for a notable or well-known biological species.
-
E.
featuresSpecies
Indicates that something includes, presents, or highlights a particular species as part of its content or composition.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bac9e08190aa1a99c835f29542 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.