Triple
T14646954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giffre valley |
E343874
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Samoëns |
E343876
|
NE FINISHED |
How this triple was built (2 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: [Giffre valley, hasSettlement, Samoëns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samoëns Context triple: [Giffre valley, hasSettlement, Samoëns]
-
A.
Samoëns
chosen
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.
-
B.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
-
C.
Snåsa
Snåsa is a rural municipality in Trøndelag county, Norway, known for its large lakes, forests, and strong South Sámi cultural heritage.
-
D.
Skogrand
Skogrand is a small settlement located within the municipality of Nes in Akershus county, Norway.
-
E.
Holmen
Holmen is a residential neighborhood in Oslo, Norway, known for its green surroundings and location within the borough of Vestre Aker.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ebe8048190a2935d00c9cfd8be |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d7915c8190ae690810110c0b60 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.