Triple
T22335464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canavese |
E552134
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Banchette
Banchette is a small municipality in the Piedmont region of northwestern Italy, situated within the historic Canavese area.
|
E1530607
|
NE FINISHED |
How this triple was built (4 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: Banchette | Statement: [Canavese, contains, Banchette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banchette Context triple: [Canavese, contains, Banchette]
-
A.
Banquet
"Banquet" is a breakout indie rock single by British band Bloc Party, known for its angular guitar riffs and energetic post-punk revival sound.
-
B.
Banquet
"Banquet" is a song from Joni Mitchell's 1972 album *For the Roses*, reflecting her introspective folk-rock style and lyrical social commentary.
-
C.
Banket
Banket is a small mining and farming town located in Zimbabwe's Mashonaland West Province.
-
D.
Banchetto musicale
Banchetto musicale is a 1617 collection of instrumental dance suites by German composer Johann Hermann Schein, notable for blending Italian and German styles in early Baroque ensemble music.
-
E.
The Restaurant
The Restaurant is a television series produced by Reveille Productions that follows the behind-the-scenes drama of launching and running a high-profile restaurant.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Banchette Triple: [Canavese, contains, Banchette]
Generated description
Banchette is a small municipality in the Piedmont region of northwestern Italy, situated within the historic Canavese area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Banchette Target entity description: Banchette is a small municipality in the Piedmont region of northwestern Italy, situated within the historic Canavese area.
-
A.
Banquet
"Banquet" is a song from Joni Mitchell's 1972 album *For the Roses*, reflecting her introspective folk-rock style and lyrical social commentary.
-
B.
Banquet
"Banquet" is a breakout indie rock single by British band Bloc Party, known for its angular guitar riffs and energetic post-punk revival sound.
-
C.
Banket
Banket is a small mining and farming town located in Zimbabwe's Mashonaland West Province.
-
D.
Banchetto musicale
Banchetto musicale is a 1617 collection of instrumental dance suites by German composer Johann Hermann Schein, notable for blending Italian and German styles in early Baroque ensemble music.
-
E.
The Restaurant
The Restaurant is a television series produced by Reveille Productions that follows the behind-the-scenes drama of launching and running a high-profile restaurant.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ad529a9b081908edf8eedee7e957c |
completed | May 18, 2026, 9 a.m. |
| NEDg | Description generation | batch_6a0ad993b9188190aacf482038b3cd29 |
completed | May 18, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ada0cef848190864a88d7baa24a81 |
completed | May 18, 2026, 9:21 a.m. |
Created at: April 16, 2026, 8:43 p.m.