Triple
T3280159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sixt-Fer-à-Cheval |
E68852
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Samoëns
Samoëns is a picturesque alpine village and ski resort in the French Alps, known for its traditional stone architecture and access to the Grand Massif ski area.
|
E343876
|
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: Samoëns | Statement: [Sixt-Fer-à-Cheval, near, Samoëns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samoëns Context triple: [Sixt-Fer-à-Cheval, near, Samoëns]
-
A.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
-
B.
Seiskari
Seiskari is an island located in the Gulf of Finland, historically known as a fishing community and part of the outer archipelago in the eastern Baltic Sea.
-
C.
Thamerdal
Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
-
D.
Birkenes
Birkenes is a rural municipality in Agder county in southern Norway, known for its forests, rivers, and small villages.
-
E.
Maleny
Maleny is a scenic rural town in the Sunshine Coast hinterland of Queensland, Australia, known for its lush rolling hills, dairy farms, arts community, and panoramic views over the Glass House Mountains.
- 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: Samoëns Triple: [Sixt-Fer-à-Cheval, near, Samoëns]
Generated description
Samoëns is a picturesque alpine village and ski resort in the French Alps, known for its traditional stone architecture and access to the Grand Massif ski area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samoëns Target entity description: Samoëns is a picturesque alpine village and ski resort in the French Alps, known for its traditional stone architecture and access to the Grand Massif ski area.
-
A.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
-
B.
Seiskari
Seiskari is an island located in the Gulf of Finland, historically known as a fishing community and part of the outer archipelago in the eastern Baltic Sea.
-
C.
Thamerdal
Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
-
D.
Birkenes
Birkenes is a rural municipality in Agder county in southern Norway, known for its forests, rivers, and small villages.
-
E.
Maleny
Maleny is a scenic rural town in the Sunshine Coast hinterland of Queensland, Australia, known for its lush rolling hills, dairy farms, arts community, and panoramic views over the Glass House Mountains.
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0166c8c81909cb0a580ef319be3 |
completed | March 8, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e851d2bc8190ba887cd1c81c880d |
completed | March 12, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69b2e8e42ecc8190b81d1b64f9fba0c1 |
completed | March 12, 2026, 4:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2e954ec18819096f31feb9e985b6a |
completed | March 12, 2026, 4:27 p.m. |
Created at: March 8, 2026, 3:10 p.m.