Triple
T10509413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Iseo |
E247871
|
entity |
| Predicate | hasShoreSettlement |
P16159
|
FINISHED |
| Object |
Marone
Marone is a small Italian town in Lombardy situated on the eastern shore of Lake Iseo, known for its lakeside scenery and proximity to the surrounding mountains.
|
E868023
|
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: Marone | Statement: [Lake Iseo, hasShoreSettlement, Marone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marone Context triple: [Lake Iseo, hasShoreSettlement, Marone]
-
A.
Moura
Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
-
B.
Moura
Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
-
C.
Moura
Moura is a Portuguese-language surname commonly found in Brazil and other Lusophone countries, associated with various notable figures in arts, sports, and public life.
-
D.
Ogna
Ogna is a river in Trøndelag county, Norway, known for flowing through the municipality of Steinkjer.
-
E.
Ione
Ione is a character in Percy Bysshe Shelley’s lyrical drama "Prometheus Unbound," serving as one of the attendant spirits who embody idealized, ethereal qualities.
- 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: Marone Triple: [Lake Iseo, hasShoreSettlement, Marone]
Generated description
Marone is a small Italian town in Lombardy situated on the eastern shore of Lake Iseo, known for its lakeside scenery and proximity to the surrounding mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marone Target entity description: Marone is a small Italian town in Lombardy situated on the eastern shore of Lake Iseo, known for its lakeside scenery and proximity to the surrounding mountains.
-
A.
Moura
Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
-
B.
Moura
Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
-
C.
Moura
Moura is a Portuguese-language surname commonly found in Brazil and other Lusophone countries, associated with various notable figures in arts, sports, and public life.
-
D.
Ogna
Ogna is a river in Trøndelag county, Norway, known for flowing through the municipality of Steinkjer.
-
E.
Ione
Ione is a character in Percy Bysshe Shelley’s lyrical drama "Prometheus Unbound," serving as one of the attendant spirits who embody idealized, ethereal qualities.
- 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_69d8dcee1db081908c791867e2438d30 |
completed | April 10, 2026, 11:20 a.m. |
| NEDg | Description generation | batch_69d8e8ca94508190a2a6beca7f01fbd8 |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9020bce488190b78e555cdd5caec4 |
completed | April 10, 2026, 1:58 p.m. |
Created at: April 6, 2026, 12:27 p.m.