Triple
T1987005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canino |
E43163
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Caninesi |
E43163
|
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: Caninesi | Statement: [Canino, hasDemonym, Caninesi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caninesi Context triple: [Canino, hasDemonym, Caninesi]
-
A.
Canis
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.
Canino
chosen
Canino is a small town in the Lazio region of central Italy, historically notable as the birthplace of Pope Paul III.
-
C.
Ridgebacks
The Ridgebacks are the varsity athletic teams representing Ontario Tech University in intercollegiate sports competitions.
-
D.
Canis lupus familiaris
Canis lupus familiaris is the domestic dog, a widely kept companion animal and working species derived from the gray wolf.
-
E.
Alpha Dog
Alpha Dog is a 2006 crime drama film inspired by real-life events surrounding a kidnapping and murder case, featuring Anton Yelchin in a prominent role.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb840a5708190a9b64564b855fb22 |
completed | March 7, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae033410a88190bac79032a012549a |
completed | March 8, 2026, 11:16 p.m. |
Created at: March 4, 2026, 7:37 p.m.