Triple
T30121337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canário-da-terra |
E765568
|
entity |
| Predicate | PortugueseCommonName |
P168444
|
FINISHED |
| Object | canário-da-terra |
—
|
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: canário-da-terra | Statement: [canário-da-terra, PortugueseCommonName, canário-da-terra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PortugueseCommonName Context triple: [canário-da-terra, PortugueseCommonName, canário-da-terra]
-
A.
nameInPortuguese
Indicates that an entity is referred to by a specific name when expressed in the Portuguese language.
-
B.
nicknameInPortuguese
Indicates that one entity is used as a nickname for another entity specifically in the Portuguese language.
-
C.
hasOfficialNameInPortuguese
Indicates that an entity has an official name expressed in the Portuguese language.
-
D.
taxonCommonName
chosen
Indicates that a taxonomic entity is associated with a common (vernacular) name used in everyday language.
-
E.
countryNamePortuguese
Indicates the Portuguese-language name assigned to a given country.
- 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_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 7:13 p.m.