Triple
T31642283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buteo lagopus |
E807487
|
entity |
| Predicate | breedingContinent |
P75656
|
FINISHED |
| Object | North 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: North America | Statement: [Buteo lagopus, breedingContinent, North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: breedingContinent Context triple: [Buteo lagopus, breedingContinent, North America]
-
A.
primaryBreedingRegions
chosen
Indicates the main geographic areas where a species typically breeds or reproduces.
-
B.
zoogeographicRegion
Indicates the zoogeographic region in which an organism or taxon naturally occurs or is distributed.
-
C.
continentB
Indicates that the subject entity is a continent that contains or is associated with the object entity (such as a country, region, or location).
-
D.
continentType
Indicates that one entity is classified as a specific type or category of continent in relation to another entity.
-
E.
observedInContinent
Indicates that something has been observed or recorded as occurring within a particular continent.
- 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_69f348d9ce58819093ea2da83cbeeec1 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a91b0a648190864338e252f7a4a1 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a757c6e081908e37631e5d8d246b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:49 p.m.