Triple
T2822621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongo |
E54844
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Musso
Musso is a small town on the western shore of Lake Como in northern Italy, known for its scenic lakeside setting and historic connections.
|
E301020
|
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: Musso | Statement: [Dongo, locatedNear, Musso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Musso Context triple: [Dongo, locatedNear, Musso]
-
A.
Locana
Locana is a seminal Sanskrit commentary by the Kashmiri philosopher Abhinavagupta, best known for its influential exposition of Indian aesthetic theory and poetics.
-
B.
Rocciamelone
Rocciamelone is a prominent mountain peak in the Italian Alps, known for its religious significance and panoramic views over the Susa Valley.
-
C.
Barcola
Barcola is a coastal district of Trieste, Italy, known for its seafront promenade, beaches, and views of the Gulf of Trieste.
-
D.
Morar
Morar is a small coastal village in the Lochaber area of the Scottish Highlands, known for its scenic beaches and proximity to the Road to the Isles.
-
E.
Calimete
Calimete is a rural municipality in western Cuba known for its agricultural activities within Matanzas Province.
- 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: Musso Triple: [Dongo, locatedNear, Musso]
Generated description
Musso is a small town on the western shore of Lake Como in northern Italy, known for its scenic lakeside setting and historic connections.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Musso Target entity description: Musso is a small town on the western shore of Lake Como in northern Italy, known for its scenic lakeside setting and historic connections.
-
A.
Locana
Locana is a seminal Sanskrit commentary by the Kashmiri philosopher Abhinavagupta, best known for its influential exposition of Indian aesthetic theory and poetics.
-
B.
Rocciamelone
Rocciamelone is a prominent mountain peak in the Italian Alps, known for its religious significance and panoramic views over the Susa Valley.
-
C.
Barcola
Barcola is a coastal district of Trieste, Italy, known for its seafront promenade, beaches, and views of the Gulf of Trieste.
-
D.
Morar
Morar is a small coastal village in the Lochaber area of the Scottish Highlands, known for its scenic beaches and proximity to the Road to the Isles.
-
E.
Calimete
Calimete is a rural municipality in western Cuba known for its agricultural activities within Matanzas Province.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde71fdc08190b18660261fe24adf |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceaa45e88190a9007885cf7868ef |
completed | March 10, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69afcf138c00819087913972df96f5ad |
completed | March 10, 2026, 7:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afcf8d0318819088f9abd895f8ba0a |
completed | March 10, 2026, 8 a.m. |
Created at: March 6, 2026, 9:59 p.m.