Triple
T3242320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Bolsena |
E67989
|
entity |
| Predicate | hasShore |
P969
|
FINISHED |
| Object |
Montefiascone
Montefiascone is a historic hilltop town in Italy’s Lazio region, known for its scenic views over Lake Bolsena and its production of the Est! Est!! Est!!! white wine.
|
E355753
|
NE FINISHED |
How this triple was built (4 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: Montefiascone | Statement: [Lake Bolsena, hasShore, Montefiascone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montefiascone Context triple: [Lake Bolsena, hasShore, Montefiascone]
-
A.
Viterbo
Viterbo is a historic city in central Italy known for its well-preserved medieval center, ancient thermal baths, and role as a papal residence in the 13th century.
-
B.
Viterbo
Viterbo is a municipality in the Caldas Department of Colombia, known for its coffee production and scenic Andean landscapes.
-
C.
Fiuggi
Fiuggi is an Italian spa town in the Lazio region, renowned for its mineral water springs and therapeutic treatments.
-
D.
Orvieto
Orvieto is a historic hilltop city in Umbria, Italy, renowned for its dramatic cliffside setting and magnificent Gothic cathedral.
-
E.
Pomezia
Pomezia is a modern industrial and residential town in the Lazio region of central Italy, situated just south of Rome.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Montefiascone Triple: [Lake Bolsena, hasShore, Montefiascone]
Generated description
Montefiascone is a historic hilltop town in Italy’s Lazio region, known for its scenic views over Lake Bolsena and its production of the Est! Est!! Est!!! white wine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montefiascone Target entity description: Montefiascone is a historic hilltop town in Italy’s Lazio region, known for its scenic views over Lake Bolsena and its production of the Est! Est!! Est!!! white wine.
-
A.
Viterbo
Viterbo is a historic city in central Italy known for its well-preserved medieval center, ancient thermal baths, and role as a papal residence in the 13th century.
-
B.
Viterbo
Viterbo is a municipality in the Caldas Department of Colombia, known for its coffee production and scenic Andean landscapes.
-
C.
Fiuggi
Fiuggi is an Italian spa town in the Lazio region, renowned for its mineral water springs and therapeutic treatments.
-
D.
Orvieto
Orvieto is a historic hilltop city in Umbria, Italy, renowned for its dramatic cliffside setting and magnificent Gothic cathedral.
-
E.
Pomezia
Pomezia is a modern industrial and residential town in the Lazio region of central Italy, situated just south of Rome.
- F. None of above. chosen
Provenance (5 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf17463481909447f6ab46016407 |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bb1c468819083b50b5858f8afe0 |
completed | March 12, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_69b34ff5a3608190bf8f33ae25b3d1ba |
completed | March 12, 2026, 11:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b350b528e4819083497ecfaec5c80d |
completed | March 12, 2026, 11:48 p.m. |
Created at: March 8, 2026, 3:08 p.m.