Triple
T1270649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miage Glacier |
E15700
|
entity |
| Predicate | flowsInto |
P408
|
FINISHED |
| Object |
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.
|
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 di Veny | Statement: [Miage Glacier, flowsInto, Dora di Veny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dora di Veny Context triple: [Miage Glacier, flowsInto, Dora di Veny]
-
A.
Margeride
Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
-
B.
Pierrette
Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
-
C.
Peney-Dessus
Peney-Dessus is a small village within the municipality of Satigny in the canton of Geneva, Switzerland, known for its rural character and surrounding vineyards.
-
D.
Dora
Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
-
E.
Madame Mère
Madame Mère was the honorific title of Letizia Ramolino, the mother of Napoleon Bonaparte and matriarch of the Bonaparte family.
- 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 di Veny Triple: [Miage Glacier, flowsInto, Dora di Veny]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dora di Veny Target entity description: 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.
-
A.
Margeride
Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
-
B.
Pierrette
Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
-
C.
Peney-Dessus
Peney-Dessus is a small village within the municipality of Satigny in the canton of Geneva, Switzerland, known for its rural character and surrounding vineyards.
-
D.
Dora
Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
-
E.
Madame Mère
Madame Mère was the honorific title of Letizia Ramolino, the mother of Napoleon Bonaparte and matriarch of the Bonaparte family.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c0691d70819088e57c78ff34af1e |
completed | March 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac998b819c8190ad5a4095d31b5cb1 |
completed | March 7, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69ac9a13e9548190ae1fbfeba3326cd5 |
completed | March 7, 2026, 9:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac9a96d4f081908e608a3f247bbfb2 |
completed | March 7, 2026, 9:37 p.m. |
Created at: March 1, 2026, 7:50 p.m.