Triple
T14562789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuscia |
E341707
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Bolsena |
E1086009
|
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: Bolsena | Statement: [Tuscia, containsCity, Bolsena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bolsena Context triple: [Tuscia, containsCity, Bolsena]
-
A.
Gargnano
Gargnano is a small town on the western shore of Lake Garda in northern Italy, known for its scenic lakeside setting and historic villas.
-
B.
Casentino
Casentino is a scenic valley in eastern Tuscany, Italy, known for its medieval towns, forests, and the upper course of the Arno River.
-
C.
Pescorocchiano
Pescorocchiano is a small Italian municipality in the Lazio region, known for its rural landscape and historic hilltop setting within the Province of Rieti.
-
D.
Bolsena Lake district
chosen
The Bolsena Lake district is a scenic area in central Italy centered around Lake Bolsena, known for its volcanic origins, rolling hills, and historic lakeside towns.
-
E.
Ostiglia
Ostiglia is a small Italian town in Lombardy known for its strategic location along the Po River and its historical role as a river port and trading center.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38afa8881909c9151b7620949ae |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf072a46481909287ef89f226270e |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:23 a.m.