Triple
T10457135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Verbano-Cusio-Ossola |
E246576
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Formazza |
E619935
|
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: Formazza | Statement: [Province of Verbano-Cusio-Ossola, contains, Formazza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Formazza Context triple: [Province of Verbano-Cusio-Ossola, contains, Formazza]
-
A.
Formazza
chosen
Formazza is a mountainous Italian municipality in the Piedmont region, known for its alpine landscapes, waterfalls, and Walser cultural heritage.
-
B.
Rose Madder
Rose Madder is a psychological horror novel by Stephen King that follows an abused woman who escapes her violent husband and becomes entangled with a supernatural painting.
-
C.
Lemonal
Lemonal is a small rural village in Belize known for its traditional Creole community and proximity to wetlands and wildlife.
-
D.
Bisenzio
Bisenzio is a river in Tuscany, Italy, that flows through the Prato area before joining the Arno.
-
E.
Ariodate
Ariodate is a character in the opera "Serse" by George Frideric Handel, typically portrayed as a Persian military commander or nobleman.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe498a808190b88530f0221df4a6 |
completed | April 7, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87f182cb481909f838d6d1dfa7e79 |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 6, 2026, 12:18 p.m.