Triple
T19316382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belbo |
E483107
|
entity |
| Predicate | hasNameInItalian |
P17612
|
FINISHED |
| Object | Belbo |
—
|
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: Belbo | Statement: [Belbo, hasNameInItalian, Belbo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belbo Context triple: [Belbo, hasNameInItalian, Belbo]
-
A.
Belbo
chosen
Belbo is a river in northwestern Italy that flows through the Piedmont region before joining the Tanaro.
-
B.
Renzo
Renzo is the given name of Renzo Piano, the renowned Italian architect known for designing landmark buildings such as the Centre Pompidou in Paris and The Shard in London.
-
C.
Sarto
Sarto is the Italian surname of Pope Pius X, reflecting his origins in a humble family from the Veneto region.
-
D.
Paolo
Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
-
E.
Misterbianco
Misterbianco is a town and comune in eastern Sicily, Italy, situated near the city of Catania and known for its historical center and traditional festivals.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d843640819089ff3738aae29eb1 |
completed | April 20, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:32 p.m.