Triple
T19276233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faetano |
E482061
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Montegiardino |
—
|
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: Montegiardino | Statement: [Faetano, hasBorderWith, Montegiardino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montegiardino Context triple: [Faetano, hasBorderWith, Montegiardino]
-
A.
Montegiardino
chosen
Montegiardino is the smallest and one of the nine municipalities (castelli) of San Marino, known for its historic village and scenic hillside setting.
-
B.
Monteriggioni
Monteriggioni is a well-preserved medieval walled town in Tuscany, Italy, renowned for its intact circular fortifications and historic towers.
-
C.
Montedoro
Montedoro is a small municipality in central Sicily, Italy, known for its rural character and traditional Sicilian culture.
-
D.
Roccaforzata
Roccaforzata is a small Italian town and comune located in the Apulia region of southern Italy.
-
E.
Campogalliano
Campogalliano is a small Italian town and municipality in the Emilia-Romagna region, known for its industrial activity and proximity to the city of Modena.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbbbdf3481909abb46c71f64106a |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:29 p.m.