Triple
T13657774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Arcs |
E326906
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Paradiski
Paradiski is a major interconnected ski area in the French Alps that links several large resorts, including Les Arcs and La Plagne, into one extensive winter sports domain.
|
E1052586
|
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: Paradiski | Statement: [Les Arcs, partOf, Paradiski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paradiski Context triple: [Les Arcs, partOf, Paradiski]
-
A.
Parachi
Parachi is a lesser-known Eastern Iranian language spoken by a small community in parts of Afghanistan.
-
B.
Digras
Digras is a town in the Yavatmal district of Maharashtra, India, known for its agrarian economy and role as a local commercial center.
-
C.
Malcantone
Malcantone is a picturesque hilly region in the Swiss canton of Ticino, known for its chestnut forests, traditional villages, and scenic hiking trails near the Italian border.
-
D.
Pangallo
Pangallo is an Italian-origin surname borne by individuals such as American politician Dominick Pangallo.
-
E.
Oreshak
Oreshak is a village in central Bulgaria known for its proximity to the historic Troyan Monastery and its traditional crafts and cultural heritage.
- 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: Paradiski Triple: [Les Arcs, partOf, Paradiski]
Generated description
Paradiski is a major interconnected ski area in the French Alps that links several large resorts, including Les Arcs and La Plagne, into one extensive winter sports domain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paradiski Target entity description: Paradiski is a major interconnected ski area in the French Alps that links several large resorts, including Les Arcs and La Plagne, into one extensive winter sports domain.
-
A.
Parachi
Parachi is a lesser-known Eastern Iranian language spoken by a small community in parts of Afghanistan.
-
B.
Digras
Digras is a town in the Yavatmal district of Maharashtra, India, known for its agrarian economy and role as a local commercial center.
-
C.
Malcantone
Malcantone is a picturesque hilly region in the Swiss canton of Ticino, known for its chestnut forests, traditional villages, and scenic hiking trails near the Italian border.
-
D.
Pangallo
Pangallo is an Italian-origin surname borne by individuals such as American politician Dominick Pangallo.
-
E.
Oreshak
Oreshak is a village in central Bulgaria known for its proximity to the historic Troyan Monastery and its traditional crafts and cultural heritage.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc61d56e4819084ae3c16ecdf4a05 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b06c5d081909d31b8a537c94edb |
completed | May 3, 2026, 5:51 p.m. |
| NEDg | Description generation | batch_69f78bd727048190a57a75294a9ab53d |
completed | May 3, 2026, 5:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78c94da6c8190b9bc1d04cee19c3c |
completed | May 3, 2026, 5:57 p.m. |
Created at: April 9, 2026, 9:52 p.m.