Triple
T20916722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Engadine |
E515091
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Celerina |
—
|
NE NERFINISHED |
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: Celerina | Statement: [Upper Engadine, containsSettlement, Celerina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Celerina Context triple: [Upper Engadine, containsSettlement, Celerina]
-
A.
Celerina
chosen
Celerina is a picturesque alpine village and ski resort in the Upper Engadine region of Switzerland, known for its sunny climate and proximity to St. Moritz.
-
B.
Andrina
Andrina is one of King Triton’s mermaid daughters and a supporting character in Disney’s "The Little Mermaid" franchise.
-
C.
Caila
Caila is an alternate given name associated with American actress and producer Marsai Martin.
-
D.
Emeline
Emeline is a feminine given name of French origin, historically used in English-speaking countries.
-
E.
Verna
Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec635f4881909a560fb891100d8c |
completed | April 21, 2026, 3:17 a.m. |
Created at: April 16, 2026, 12:48 p.m.