Triple
T1004954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venice |
E21687
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Burano
Burano is a small, picturesque island in the Venetian Lagoon renowned for its brightly colored houses and traditional lace-making.
|
E135490
|
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: Burano | Statement: [Venice, hasIsland, Burano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burano Context triple: [Venice, hasIsland, Burano]
-
A.
Murano
Murano is a small island in the Venetian Lagoon renowned worldwide for its centuries-old tradition of glassmaking.
-
B.
Barcola
Barcola is a coastal district of Trieste, Italy, known for its seafront promenade, beaches, and views of the Gulf of Trieste.
-
C.
Gardone Riviera
Gardone Riviera is a picturesque resort town on the western shore of Italy’s Lake Garda, known for its historic villas, gardens, and association with poet Gabriele D’Annunzio.
-
D.
Venice
Venice is a vibrant beachfront neighborhood on Los Angeles’s Westside known for its bohemian spirit, canals, boardwalk, and skate and surf culture.
-
E.
Venice
Venice is a historic Italian city built on a network of canals in a lagoon of the Adriatic Sea, renowned for its unique architecture, art, and maritime heritage.
- 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: Burano Triple: [Venice, hasIsland, Burano]
Generated description
Burano is a small, picturesque island in the Venetian Lagoon renowned for its brightly colored houses and traditional lace-making.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Burano Target entity description: Burano is a small, picturesque island in the Venetian Lagoon renowned for its brightly colored houses and traditional lace-making.
-
A.
Murano
Murano is a small island in the Venetian Lagoon renowned worldwide for its centuries-old tradition of glassmaking.
-
B.
Barcola
Barcola is a coastal district of Trieste, Italy, known for its seafront promenade, beaches, and views of the Gulf of Trieste.
-
C.
Gardone Riviera
Gardone Riviera is a picturesque resort town on the western shore of Italy’s Lake Garda, known for its historic villas, gardens, and association with poet Gabriele D’Annunzio.
-
D.
Venice
Venice is a vibrant beachfront neighborhood on Los Angeles’s Westside known for its bohemian spirit, canals, boardwalk, and skate and surf culture.
-
E.
Venice
Venice is a historic Italian city built on a network of canals in a lagoon of the Adriatic Sea, renowned for its unique architecture, art, and maritime heritage.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b51303548190a5ee3c0797fc3245 |
completed | March 1, 2026, 9:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f0503ec81908112cf30ca85530a |
completed | March 7, 2026, 6:31 p.m. |
| NEDg | Description generation | batch_69ac7185ea608190802a87f75273f8b7 |
completed | March 7, 2026, 6:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac71c5266c819086647d47b9fb73dc |
completed | March 7, 2026, 6:43 p.m. |
Created at: March 1, 2026, 7:41 p.m.