Triple
T18064249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giudecca |
E432255
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Molino Stucky
Molino Stucky is a historic former flour mill and pasta factory on Venice’s Giudecca island, now converted into a prominent luxury hotel and conference center.
|
E1304537
|
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: Molino Stucky | Statement: [Giudecca, hasLandmark, Molino Stucky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molino Stucky Context triple: [Giudecca, hasLandmark, Molino Stucky]
-
A.
Maulusmühle
Maulusmühle is a small locality in northern Luxembourg, situated within the commune of Troisvierges near the Belgian border.
-
B.
Eggermühlen
Eggermühlen is a small rural municipality in Lower Saxony, Germany, situated within the Osnabrück district.
-
C.
Aumühle
Aumühle is a small municipality in northern Germany, known in part as the place where former German Grand Admiral and President Karl Dönitz died.
-
D.
Schmidmühlen
Schmidmühlen is a small market town in the Upper Palatinate region of Bavaria, Germany, known for its scenic location at the confluence of the Vils and Lauterach rivers.
-
E.
Bühler
Bühler is a German-language surname borne by various notable individuals across fields such as politics, sports, and academia.
- 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: Molino Stucky Triple: [Giudecca, hasLandmark, Molino Stucky]
Generated description
Molino Stucky is a historic former flour mill and pasta factory on Venice’s Giudecca island, now converted into a prominent luxury hotel and conference center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Molino Stucky Target entity description: Molino Stucky is a historic former flour mill and pasta factory on Venice’s Giudecca island, now converted into a prominent luxury hotel and conference center.
-
A.
Maulusmühle
Maulusmühle is a small locality in northern Luxembourg, situated within the commune of Troisvierges near the Belgian border.
-
B.
Eggermühlen
Eggermühlen is a small rural municipality in Lower Saxony, Germany, situated within the Osnabrück district.
-
C.
Aumühle
Aumühle is a small municipality in northern Germany, known in part as the place where former German Grand Admiral and President Karl Dönitz died.
-
D.
Schmidmühlen
Schmidmühlen is a small market town in the Upper Palatinate region of Bavaria, Germany, known for its scenic location at the confluence of the Vils and Lauterach rivers.
-
E.
Bühler
Bühler is a German-language surname borne by various notable individuals across fields such as politics, sports, and academia.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cce74a0c81908375e3100c7578b8 |
completed | April 19, 2026, 12:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03566e299c8190aa4c746183a4736a |
completed | May 12, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_6a03597b2d3c81909425547a91b58fdd |
completed | May 12, 2026, 4:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0359d89b7c819088b202cd618014fd |
completed | May 12, 2026, 4:48 p.m. |
Created at: April 10, 2026, 10:26 a.m.