Triple
T13064995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ascona |
E329298
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object |
Maggia
Maggia is a river in the Swiss canton of Ticino that flows from the Alps into Lake Maggiore.
|
E1019085
|
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: Maggia | Statement: [Ascona, locatedOnRiver, Maggia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maggia Context triple: [Ascona, locatedOnRiver, Maggia]
-
A.
Maggia
The Maggia is a powerful fictional international crime syndicate in the Marvel Comics universe, often serving as a major organized-crime antagonist to superheroes like Iron Man and Spider-Man.
-
B.
Maleizen
Maleizen is a village that forms a sub-municipality of Overijse in the Flemish Brabant province of Belgium.
-
C.
Pierrelatte
Pierrelatte is a commune in southeastern France known for its proximity to the Tricastin nuclear complex and its location in the Drôme department of the Auvergne-Rhône-Alpes region.
-
D.
Dozza
Dozza is a picturesque medieval hilltop village in Italy’s Emilia-Romagna region, renowned for its castle and open-air mural art.
-
E.
Maza
Maza is a Spanish-language surname notably borne by Margarita Maza de Juárez, the wife of Mexican president Benito Juárez.
- 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: Maggia Triple: [Ascona, locatedOnRiver, Maggia]
Generated description
Maggia is a river in the Swiss canton of Ticino that flows from the Alps into Lake Maggiore.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maggia Target entity description: Maggia is a river in the Swiss canton of Ticino that flows from the Alps into Lake Maggiore.
-
A.
Maggia
The Maggia is a powerful fictional international crime syndicate in the Marvel Comics universe, often serving as a major organized-crime antagonist to superheroes like Iron Man and Spider-Man.
-
B.
Maleizen
Maleizen is a village that forms a sub-municipality of Overijse in the Flemish Brabant province of Belgium.
-
C.
Pierrelatte
Pierrelatte is a commune in southeastern France known for its proximity to the Tricastin nuclear complex and its location in the Drôme department of the Auvergne-Rhône-Alpes region.
-
D.
Dozza
Dozza is a picturesque medieval hilltop village in Italy’s Emilia-Romagna region, renowned for its castle and open-air mural art.
-
E.
Maza
Maza is a Spanish-language surname notably borne by Margarita Maza de Juárez, the wife of Mexican president Benito Juárez.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980eb81948190b27eb9ae19978079 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe630808190a9a3481127bbaa86 |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6d039254881909927b58225f194de |
completed | May 3, 2026, 4:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6d0d218d4819080273a151a0890d3 |
completed | May 3, 2026, 4:36 a.m. |
Created at: April 9, 2026, 8:59 p.m.