Triple
T9814008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alessandria |
E238351
|
entity |
| Predicate | locatedNearRiver |
P165
|
FINISHED |
| Object | Bormida |
E487483
|
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: Bormida | Statement: [Alessandria, locatedNearRiver, Bormida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bormida Context triple: [Alessandria, locatedNearRiver, Bormida]
-
A.
Bormida
chosen
Bormida is a river in northwestern Italy that flows through the regions of Piedmont and Liguria before joining the Tanaro.
-
B.
Ivrea
Ivrea is a historic town in Italy’s Piedmont region, known for its medieval architecture, industrial heritage, and the famous Battle of the Oranges carnival.
-
C.
Cuneo
Cuneo is a city in the Piedmont region of northwestern Italy, known for its Alpine setting, agricultural traditions, and use of the Piedmontese language.
-
D.
Pescia
Pescia is a historic Tuscan town in central Italy known for its paper production, floriculture, and medieval architecture.
-
E.
Collegno
Collegno is a municipality in the Metropolitan City of Turin in northern Italy, known as a residential and industrial suburb of Turin.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb22410208190b82b81a4df800f80 |
completed | April 2, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e519c7a88190b8776b4af4908d1f |
completed | April 5, 2026, 10:41 p.m. |
Created at: March 30, 2026, 8:30 p.m.