Triple
T6708798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Orta |
E153075
|
entity |
| Predicate | hasTownOnShore |
P969
|
FINISHED |
| Object |
Miasino
Miasino is a small Italian town in the Piedmont region, known for its scenic location near Lake Orta and its historic villas and churches.
|
E617892
|
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: Miasino | Statement: [Lake Orta, hasTownOnShore, Miasino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miasino Context triple: [Lake Orta, hasTownOnShore, Miasino]
-
A.
Mangini
Mangini is an Italian surname most notably associated with former NFL head coach and analyst Eric Mangini.
-
B.
Muanisolo
Muanisolo is a village located on Kadavu Island in Fiji, known for its traditional Fijian rural lifestyle and coastal setting.
-
C.
Senaki
Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
-
D.
Marangona
Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
-
E.
Muyil
Muyil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its well-preserved temples and proximity to the Sian Ka'an Biosphere Reserve.
- 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: Miasino Triple: [Lake Orta, hasTownOnShore, Miasino]
Generated description
Miasino is a small Italian town in the Piedmont region, known for its scenic location near Lake Orta and its historic villas and churches.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miasino Target entity description: Miasino is a small Italian town in the Piedmont region, known for its scenic location near Lake Orta and its historic villas and churches.
-
A.
Mangini
Mangini is an Italian surname most notably associated with former NFL head coach and analyst Eric Mangini.
-
B.
Muanisolo
Muanisolo is a village located on Kadavu Island in Fiji, known for its traditional Fijian rural lifestyle and coastal setting.
-
C.
Senaki
Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
-
D.
Marangona
Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
-
E.
Muyil
Muyil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its well-preserved temples and proximity to the Sian Ka'an Biosphere Reserve.
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1049b7c8190a970a165d15b440b |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7129620248190945b25dfda1e065e |
completed | March 27, 2026, 11:28 p.m. |
| NEDg | Description generation | batch_69c71396f1f88190b3316e694424a2fe |
completed | March 27, 2026, 11:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7146413748190b844d9422dce42c2 |
completed | March 27, 2026, 11:36 p.m. |
Created at: March 27, 2026, 2:06 p.m.