Triple
T19767181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borgo Maggiore |
E474788
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Domagnano |
—
|
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: Domagnano | Statement: [Borgo Maggiore, hasBorderWith, Domagnano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Domagnano Context triple: [Borgo Maggiore, hasBorderWith, Domagnano]
-
A.
Domagnano
chosen
Domagnano is one of the nine municipalities (castelli) of San Marino, located in the northeastern part of the country.
-
B.
Orzinuovi
Orzinuovi is a town and comune in the province of Brescia in the Lombardy region of northern Italy.
-
C.
Solignano
Solignano is a small municipality in the Province of Parma in Italy’s Emilia-Romagna region, known for its rural landscape and location in the Taro Valley.
-
D.
Lavagnesi
Lavagnesi are the inhabitants or natives of Lavagna, a coastal town in the Liguria region of northwestern Italy.
-
E.
Pontremoli
Pontremoli is a historic town in northern Tuscany, Italy, known for its medieval architecture and strategic location along the ancient Via Francigena pilgrimage route.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65358fc3c8190867fea2a2c4e7594 |
completed | April 20, 2026, 4:24 p.m. |
Created at: April 10, 2026, 1:48 p.m.