Triple
T16245111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lugano District |
E394351
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Morcote |
E88079
|
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: Morcote | Statement: [Lugano District, contains, Morcote]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morcote Context triple: [Lugano District, contains, Morcote]
-
A.
Morcote
chosen
Morcote is a picturesque lakeside village and former fishing community on the shores of Lake Lugano in the Swiss canton of Ticino, known for its historic architecture and scenic hillside setting.
-
B.
Montepuez
Montepuez is a major town in northern Mozambique known for its significant ruby deposits and role as an economic center in Cabo Delgado Province.
-
C.
Bernera
Bernera is a historically significant island in Scotland’s Outer Hebrides that served as an important stronghold of Clan MacLeod.
-
D.
Albula
Albula is a river in the canton of Graubünden in eastern Switzerland, known for flowing through alpine valleys and lending its name to the Albula Pass and Albula Railway line.
-
E.
Zoncolan
Zoncolan is a notoriously steep mountain in the Italian Alps, famous as one of the toughest climbs in professional road cycling.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24561d250819096f709ea8751fcb9 |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ee135b881909cc1b6919bc7af29 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.