Triple
T19515535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monti Lepini |
E488266
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Sezze |
—
|
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: Sezze | Statement: [Monti Lepini, containsSettlement, Sezze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sezze Context triple: [Monti Lepini, containsSettlement, Sezze]
-
A.
Sezze
chosen
Sezze is a historic town in the Lazio region of central Italy, known for its ancient origins and hilltop setting overlooking the Pontine plain.
-
B.
Vergiate
Vergiate is a town in the Lombardy region of northern Italy known for its significant aerospace and helicopter manufacturing facilities.
-
C.
Valmadrera
Valmadrera is a town and comune in the Lombardy region of northern Italy, situated near Lake Como and known for its scenic mountainous surroundings.
-
D.
Cinisello Balsamo
Cinisello Balsamo is a densely populated suburban municipality in northern Italy, located just north of Milan and known as part of the city’s greater metropolitan area.
-
E.
Bianzano
Bianzano is a small municipality in the Lombardy region of northern Italy, known for its medieval castle and scenic position near Lake Iseo.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359b90f08190b38359dc9e97e11c |
completed | April 20, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.