Triple
T30121338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canário-da-terra |
E765568
|
entity |
| Predicate | EnglishCommonName |
P3437
|
FINISHED |
| Object | saffron finch |
—
|
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: saffron finch | Statement: [canário-da-terra, EnglishCommonName, saffron finch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EnglishCommonName Context triple: [canário-da-terra, EnglishCommonName, saffron finch]
-
A.
taxonCommonName
Indicates that a taxonomic entity is associated with a common (vernacular) name used in everyday language.
-
B.
describedTaxonCommonName
Indicates that a taxon is being described or referenced using its common (vernacular) name rather than its scientific name.
-
C.
languageCommonlyCalled
Indicates that one language is commonly referred to or known by a particular alternative name or label.
-
D.
hasEnglishName
chosen
Indicates that an entity is associated with a name expressed in the English language.
-
E.
subspeciesCommonName
Indicates the common (non-scientific) name used to refer to a particular subspecies.
- 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_69f2247716748190ae4f16998f49ddf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67deb0888819090b6d69cd598c34c |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:13 p.m.