Triple
T11041897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trochilus |
E261037
|
entity |
| Predicate | vernacularNameOfSpecies |
P80396
|
FINISHED |
| Object | doctor bird |
—
|
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: doctor bird | Statement: [Trochilus, vernacularNameOfSpecies, doctor bird]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vernacularNameOfSpecies Context triple: [Trochilus, vernacularNameOfSpecies, doctor bird]
-
A.
vernacularNameAppliedTo
chosen
Indicates that a particular common or vernacular name is assigned or applied to an entity.
-
B.
scientificName
Indicates the formal taxonomic name assigned to an organism according to scientific naming conventions.
-
C.
commonNameOfGenus
Indicates that the object is a commonly used name referring to the genus specified by the subject.
-
D.
commonNameOfNotableSpecies
Indicates that the subject is a commonly used vernacular or everyday name for a notable or well-known biological species.
-
E.
includesSpeciesCommonName
Indicates that an entity contains or specifies the common (vernacular) name of a species.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7980134c8819098122d83380a1f79 |
completed | April 9, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69d74407cb088190ba37c8da3d342b64 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.