Triple
T7542770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Cuneo |
E178320
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Roero |
E157908
|
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: Roero | Statement: [Province of Cuneo, contains, Roero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roero Context triple: [Province of Cuneo, contains, Roero]
-
A.
Roero
chosen
Roero is a hilly wine-producing area in Italy’s Piedmont region, renowned for its aromatic white Arneis and elegant Nebbiolo-based reds.
-
B.
Saar
The Saar is a river in western Europe that flows through northeastern France and western Germany, giving its name to the German state of Saarland.
-
C.
Saar
Saar was a short-lived postwar German protectorate that competed independently in international events, including the Olympics, before rejoining West Germany.
-
D.
Gileppe
Gileppe is a river in eastern Belgium known for feeding the Gileppe Dam and Reservoir near Jalhay.
-
E.
Rhenen
Rhenen is a historic town and municipality in the central Netherlands, known for its scenic location along the Rhine and landmarks such as the Cunera Church and Ouwehands Zoo.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8762b048190a0b262f9cb3fe1b0 |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f1d1e148190be015c62ae1ea1e8 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:48 p.m.