Triple
T6708799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Orta |
E153075
|
entity |
| Predicate | hasTownOnShore |
P969
|
FINISHED |
| Object |
Nonio
Nonio is a small Italian town in the Piedmont region, situated on the scenic shores of Lake Orta.
|
E613778
|
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: Nonio | Statement: [Lake Orta, hasTownOnShore, Nonio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nonio Context triple: [Lake Orta, hasTownOnShore, Nonio]
-
A.
Nolano
Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
-
B.
Beni
Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
-
C.
Beni
Beni is a city in the eastern Democratic Republic of the Congo that became internationally known as a major hotspot of conflict and public health crises, including serving as the epicenter of the 2018–2020 Kivu Ebola epidemic.
-
D.
Beni
Beni is a town in western Nepal that serves as a gateway to the Dhaulagiri and Annapurna mountain regions.
-
E.
Nesuhi
Nesuhi was a prominent Turkish-American record producer and music executive best known for his influential work in jazz, particularly at Atlantic Records.
- 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: Nonio Triple: [Lake Orta, hasTownOnShore, Nonio]
Generated description
Nonio is a small Italian town in the Piedmont region, situated on the scenic shores of Lake Orta.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nonio Target entity description: Nonio is a small Italian town in the Piedmont region, situated on the scenic shores of Lake Orta.
-
A.
Nolano
Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
-
B.
Beni
Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
-
C.
Beni
Beni is a city in the eastern Democratic Republic of the Congo that became internationally known as a major hotspot of conflict and public health crises, including serving as the epicenter of the 2018–2020 Kivu Ebola epidemic.
-
D.
Beni
Beni is a town in western Nepal that serves as a gateway to the Dhaulagiri and Annapurna mountain regions.
-
E.
Nesuhi
Nesuhi was a prominent Turkish-American record producer and music executive best known for his influential work in jazz, particularly at Atlantic Records.
- 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_69c7008e6b308190a3d5db2bf4a469c4 |
completed | March 27, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69c701be78cc8190a0848ea60908d129 |
completed | March 27, 2026, 10:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7021b27288190866aef500198479d |
completed | March 27, 2026, 10:18 p.m. |
Created at: March 27, 2026, 2:06 p.m.