Triple
T16606370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germano Celant |
E403455
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Liguria |
E35806
|
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: Liguria | Statement: [Germano Celant, placeOfBirth, Liguria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liguria Context triple: [Germano Celant, placeOfBirth, Liguria]
-
A.
Liguria
chosen
Liguria is a coastal region in northwestern Italy known for its picturesque Riviera, including the Cinque Terre and the city of Genoa.
-
B.
Piemonte
Piemonte is a region in northwestern Italy known for its rich culinary traditions, prestigious wines like Barolo and Barbaresco, and the industrial city of Turin.
-
C.
La Marche
La Marche is a historic province in central France known for its rural landscapes and role as a frontier region between major medieval territories.
-
D.
Il Lombardia
Il Lombardia is one of professional road cycling’s five prestigious Monuments, a historic one-day classic held in Italy and renowned for its hilly, scenic route and late-season timing.
-
E.
Emilia-Romagna
Emilia-Romagna is a region in northern Italy known for its rich culinary traditions, historic cities, and strong industrial and agricultural economy.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e36091de048190b40aa42b1a0681cc |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091891c5081908f37598a17417c94 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:17 a.m.