Triple
T27788415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cephalopterus ornatus |
E701016
|
entity |
| Predicate | nativeRangeContinent |
P18324
|
FINISHED |
| Object | South America |
—
|
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: South America | Statement: [Cephalopterus ornatus, nativeRangeContinent, South America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nativeRangeContinent Context triple: [Cephalopterus ornatus, nativeRangeContinent, South America]
-
A.
nativeContinents
Indicates the continents where an entity (typically a species or group) originally occurs or is naturally indigenous.
-
B.
nativeToContinent
chosen
Indicates that an entity originates from and is naturally found in a specified continent.
-
C.
continentScope
Indicates that something applies within, is limited to, or is defined at the level of a specific continent.
-
D.
continentType
Indicates that one entity is classified as a specific type or category of continent in relation to another entity.
-
E.
continentOfUse
Indicates the continent where something is primarily used or in effect.
- 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_69ef6a50d8088190acbf3dfbb06d8091 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6895f0819088655277e45859a8 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 5:26 p.m.