Triple
T22335475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canavese |
E552134
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Biellese |
—
|
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: Biellese | Statement: [Canavese, borders, Biellese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biellese Context triple: [Canavese, borders, Biellese]
-
A.
Biellese
chosen
Biellese refers to people or things originating from Biella, a city in the Piedmont region of northern Italy known for its textile and wool industry.
-
B.
Plaridel
Plaridel is a municipality in the province of Quezon in the Philippines, known for its predominantly agricultural economy and rural communities.
-
C.
Plaridel
Plaridel is a municipality in the province of Bulacan in the Philippines, known for its historical significance and proximity to Metro Manila.
-
D.
Plaridel
Plaridel is a barangay (village-level administrative division) within the city of Sagay in the Philippines.
-
E.
Mariveles
Mariveles is a coastal municipality at the southern tip of the Bataan Peninsula in the Philippines, known for its deep-water port, industrial zones, and role in World War II history.
- 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1577e35f48190b11789d80182653e |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:43 p.m.