Triple
T23284929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggia Valley |
E588959
|
entity |
| Predicate | hasSideValley |
P110885
|
FINISHED |
| Object |
Val Rovana
Val Rovana is a side valley of the Maggia Valley in the Swiss canton of Ticino, known for its alpine landscapes, traditional villages, and hiking trails.
|
E1578514
|
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: Val Rovana | Statement: [Maggia Valley, hasSideValley, Val Rovana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Val Rovana Context triple: [Maggia Valley, hasSideValley, Val Rovana]
-
A.
Gina Kurti
Gina Kurti was the wife of Hungarian-born physicist and molecular gastronomy pioneer Nicholas Kurti.
-
B.
Loredana Nusciak
Loredana Nusciak was an Italian actress best known for her roles in 1960s Spaghetti Westerns and genre films.
-
C.
Carmen Pavlovic
Carmen Pavlovic is a theatre producer best known for leading the stage adaptation of Baz Luhrmann’s Moulin Rouge! into an award-winning Broadway musical.
-
D.
Maria Tura
Maria Tura is a glamorous and quick-witted Polish stage actress and central character in the 1942 satirical film "To Be or Not to Be," known for her role in a theatrical troupe that outsmarts the Nazis.
-
E.
Pamela Habibović
Pamela Habibović is a Dutch scientist and academic leader who serves as rector magnificus of Maastricht University.
- 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: Val Rovana Triple: [Maggia Valley, hasSideValley, Val Rovana]
Generated description
Val Rovana is a side valley of the Maggia Valley in the Swiss canton of Ticino, known for its alpine landscapes, traditional villages, and hiking trails.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Val Rovana Target entity description: Val Rovana is a side valley of the Maggia Valley in the Swiss canton of Ticino, known for its alpine landscapes, traditional villages, and hiking trails.
-
A.
Gina Kurti
Gina Kurti was the wife of Hungarian-born physicist and molecular gastronomy pioneer Nicholas Kurti.
-
B.
Loredana Nusciak
Loredana Nusciak was an Italian actress best known for her roles in 1960s Spaghetti Westerns and genre films.
-
C.
Carmen Pavlovic
Carmen Pavlovic is a theatre producer best known for leading the stage adaptation of Baz Luhrmann’s Moulin Rouge! into an award-winning Broadway musical.
-
D.
Maria Tura
Maria Tura is a glamorous and quick-witted Polish stage actress and central character in the 1942 satirical film "To Be or Not to Be," known for her role in a theatrical troupe that outsmarts the Nazis.
-
E.
Pamela Habibović
Pamela Habibović is a Dutch scientist and academic leader who serves as rector magnificus of Maastricht University.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1964600888190b40ecbefdc8aec64 |
completed | April 29, 2026, 5:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f813f248190b56ed6a7fc074989 |
completed | May 19, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_6a0c405ca9e081908adeedd69acb8ed2 |
completed | May 19, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c443c4540819096f1a41d9c24a706 |
completed | May 19, 2026, 11:06 a.m. |
Created at: April 17, 2026, 4:59 p.m.