Triple
T22699024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Havilland Canada |
E561261
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Beaver |
—
|
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: Beaver | Statement: [De Havilland Canada, hasBrand, Beaver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beaver Context triple: [De Havilland Canada, hasBrand, Beaver]
-
A.
Beaver
Beaver was one of the British ships in Boston Harbor whose tea cargo was destroyed during the Boston Tea Party protest in 1773.
-
B.
Beaver
Beaver is a small borough in western Pennsylvania that serves as the administrative and commercial center of Beaver County.
-
C.
Beaver
Beaver is a large, semiaquatic rodent known for building dams and lodges in freshwater habitats across North America and parts of Europe.
-
D.
Beaver
Beaver is a small unincorporated community and census-designated place in Raleigh County, West Virginia, known for its residential character and proximity to the city of Beckley.
-
E.
Beaver
chosen
Beaver is the common nickname for the de Havilland Canada DHC-2 Beaver, a rugged single-engine STOL utility aircraft widely used for bush flying and remote operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178c944748190a0712983f7059114 |
completed | April 29, 2026, 3:19 a.m. |
Created at: April 17, 2026, 3:15 p.m.