Triple
T10509408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Iseo |
E247871
|
entity |
| Predicate | hasShoreSettlement |
P16159
|
FINISHED |
| Object |
Iseo
Iseo is a picturesque town in northern Italy’s Lombardy region, known as a lakeside resort and gateway to the scenic Lake Iseo.
|
E881346
|
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: Iseo | Statement: [Lake Iseo, hasShoreSettlement, Iseo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iseo Context triple: [Lake Iseo, hasShoreSettlement, Iseo]
-
A.
Lake Iseo
Lake Iseo is a picturesque glacial lake in northern Italy, known for its tranquil scenery, surrounding mountains, and the island of Monte Isola at its center.
-
B.
Lake Varese
Lake Varese is a glacial lake in northern Italy known for its scenic surroundings, birdlife, and rowing activities.
-
C.
Doberdò Lake
Doberdò Lake is a karstic lake in northeastern Italy known for its fluctuating water levels and unique wetland ecosystem within the Karst Plateau.
-
D.
Saronida
Saronida is a coastal town and seaside resort in the Athens metropolitan area of Greece, known for its beaches and residential character.
-
E.
Idroscalo Lake
Idroscalo Lake is an artificial basin and popular recreational area near Milan, Italy, known for water sports, rowing events, and lakeside leisure activities.
- 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: Iseo Triple: [Lake Iseo, hasShoreSettlement, Iseo]
Generated description
Iseo is a picturesque town in northern Italy’s Lombardy region, known as a lakeside resort and gateway to the scenic Lake Iseo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iseo Target entity description: Iseo is a picturesque town in northern Italy’s Lombardy region, known as a lakeside resort and gateway to the scenic Lake Iseo.
-
A.
Lake Iseo
Lake Iseo is a picturesque glacial lake in northern Italy, known for its tranquil scenery, surrounding mountains, and the island of Monte Isola at its center.
-
B.
Lake Varese
Lake Varese is a glacial lake in northern Italy known for its scenic surroundings, birdlife, and rowing activities.
-
C.
Doberdò Lake
Doberdò Lake is a karstic lake in northeastern Italy known for its fluctuating water levels and unique wetland ecosystem within the Karst Plateau.
-
D.
Saronida
Saronida is a coastal town and seaside resort in the Athens metropolitan area of Greece, known for its beaches and residential character.
-
E.
Idroscalo Lake
Idroscalo Lake is an artificial basin and popular recreational area near Milan, Italy, known for water sports, rowing events, and lakeside leisure activities.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b359ac8190b3683cc6b9c70a71 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbacad75b8819090657ab4335cebbc |
completed | April 12, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69dbaeb211088190a9118c71918584e5 |
completed | April 12, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dbaf7c999c819097a8cdf5bd82f648 |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 6, 2026, 12:27 p.m.