Triple
T22010216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campanian plain |
E543554
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Sarno |
—
|
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: Sarno | Statement: [Campanian plain, hasMajorCity, Sarno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarno Context triple: [Campanian plain, hasMajorCity, Sarno]
-
A.
Sarno
chosen
Sarno is a town in Italy’s Campania region, located near Mount Vesuvius and known as an endpoint of the Circumvesuviana railway network.
-
B.
Maddaloni
Maddaloni is a historic town and municipality in southern Italy’s Campania region, known for its medieval castle and proximity to the city of Caserta.
-
C.
Mercogliano
Mercogliano is a town and comune in southern Italy’s Campania region, known for its proximity to Avellino and the Montevergine Sanctuary.
-
D.
Filottrano
Filottrano is a small town in Italy’s Marche region, known in part as the place where professional cyclist Michele Scarponi died.
-
E.
Fisciano
Fisciano is a town in the Campania region of southern Italy known for hosting the main campus of the University of Salerno.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a4338c8190836074d21bfbaf78 |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:22 p.m.