Triple
T3455935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Po basin |
E72903
|
entity |
| Predicate | hasMajorTributary |
P415
|
FINISHED |
| Object |
Dora Baltea
Dora Baltea is a major river in northwestern Italy that flows from the Mont Blanc region through the Aosta Valley and Piedmont before joining the Po River.
|
E144602
|
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: Dora Baltea | Statement: [Po basin, hasMajorTributary, Dora Baltea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dora Baltea Context triple: [Po basin, hasMajorTributary, Dora Baltea]
-
A.
Dora Luz
Dora Luz was a Mexican singer and actress best known for her musical performances in classic Disney films of the 1940s.
-
B.
Dora
Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
-
C.
Dora Riparia
Dora Riparia is a river in northwestern Italy that flows through the city of Turin before joining the Po River.
-
D.
Aloysya
Aloysya is a given name, typically a feminine variant of Aloysius, used in various cultures and languages.
-
E.
Dora di Veny
Dora di Veny is a mountain stream in Italy’s Aosta Valley that drains the southern side of Mont Blanc and contributes to the upper course of the Dora Baltea river.
- 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: Dora Baltea Triple: [Po basin, hasMajorTributary, Dora Baltea]
Generated description
Dora Baltea is a major river in northwestern Italy that flows from the Mont Blanc region through the Aosta Valley and Piedmont before joining the Po River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dora Baltea Target entity description: Dora Baltea is a major river in northwestern Italy that flows from the Mont Blanc region through the Aosta Valley and Piedmont before joining the Po River.
-
A.
Dora Luz
Dora Luz was a Mexican singer and actress best known for her musical performances in classic Disney films of the 1940s.
-
B.
Dora
Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
-
C.
Dora Riparia
Dora Riparia is a river in northwestern Italy that flows through the city of Turin before joining the Po River.
-
D.
Aloysya
Aloysya is a given name, typically a feminine variant of Aloysius, used in various cultures and languages.
-
E.
Dora di Veny
chosen
Dora di Veny is a mountain stream in Italy’s Aosta Valley that drains the southern side of Mont Blanc and contributes to the upper course of the Dora Baltea river.
- F. None of above.
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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbaa77b9c81909376a5995cdaf6ac |
completed | March 8, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b361014b1c81909b6db97ec2395b73 |
completed | March 13, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b36200bc988190b5883c21b8bba5bc |
completed | March 13, 2026, 1:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36264b39481909e8255c3af92c977 |
completed | March 13, 2026, 1:03 a.m. |
Created at: March 8, 2026, 3:16 p.m.