Triple
T6532586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonaparte arms with territorial augmentations |
E152266
|
entity |
| Predicate | associatedWithTerritory |
P12445
|
FINISHED |
| Object | Canino |
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: Canino | Statement: [Bonaparte arms with territorial augmentations, associatedWithTerritory, Canino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canino Context triple: [Bonaparte arms with territorial augmentations, associatedWithTerritory, Canino]
-
A.
Canino
chosen
Canino is a small town in the Lazio region of central Italy, historically notable as the birthplace of Pope Paul III.
-
B.
Juvarra
Juvarra is the surname of Filippo Juvarra, an influential Italian architect and stage designer of the late Baroque period.
-
C.
Carvallo
Carvallo is a surname, likely a variant of Carvajal, found in Spanish- and Portuguese-speaking regions.
-
D.
Bracco
Bracco is an Italian surname most notably associated with actress Lorraine Bracco, known for her roles in "Goodfellas" and "The Sopranos."
-
E.
Vilca
Vilca is a small Andean town in Peru known for its scenic highland landscapes, lagoons, and traditional rural culture within the Nor Yauyos-Cochas reserve.
- 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adbe168881908ffefc4962e2893d |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d52facf48190adbbd139a7044814 |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:46 p.m.