Triple
T5321238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canis lupus familiaris |
E121677
|
entity |
| Predicate | genus |
P87
|
FINISHED |
| Object | Canis |
E197107
|
NE 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: Canis | Statement: [Canis lupus familiaris, genus, Canis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canis Context triple: [Canis lupus familiaris, genus, Canis]
-
A.
Canis
chosen
Canis is a genus of medium to large carnivorous mammals in the dog family that includes wolves, domestic dogs, coyotes, and closely related species.
-
B.
Canis lupus
Canis lupus is the gray wolf, a large social canid native to the Northern Hemisphere and the wild ancestor of the domestic dog.
-
C.
Canis lupus familiaris
Canis lupus familiaris is the domestic dog, a widely kept companion animal and working species derived from the gray wolf.
-
D.
Volpe
Volpe is an Italian surname borne by various notable individuals in politics, sports, and the arts.
-
E.
Wolf
Wolf is a common German surname borne by numerous notable individuals across fields such as scholarship, politics, and the arts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85761ec48190879210af116ed8b9 |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21b8692881908f04d8cfd7d3d10d |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 20, 2026, 1:59 p.m.