Triple
T8091722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernese Oberland |
E188881
|
entity |
| Predicate | hasMajorResort |
P10436
|
FINISHED |
| Object | Grindelwald |
E89932
|
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: Grindelwald | Statement: [Bernese Oberland, hasMajorResort, Grindelwald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grindelwald Context triple: [Bernese Oberland, hasMajorResort, Grindelwald]
-
A.
Grindelwald
chosen
Grindelwald is a Swiss mountain village and popular alpine resort known for its dramatic scenery, skiing, and hiking in the Bernese Oberland region.
-
B.
Glaramara
Glaramara is a prominent fell in England’s Lake District, known for its rugged ridges and extensive views over Borrowdale.
-
C.
Nottwil
Nottwil is a Swiss municipality in the canton of Lucerne, known for its lakeside location and the Swiss Paraplegic Centre.
-
D.
Sarnen
Sarnen is a Swiss town in central Switzerland that serves as the administrative and economic center of the canton of Obwalden, situated on the shores of Lake Sarnen amid alpine scenery.
-
E.
Rivenhall
Rivenhall is a village in Essex, England, notable for hosting the headquarters of the Essex County Fire and Rescue Service.
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42217a1881909792b08a2f06fb75 |
completed | March 31, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc640dbab881908a8142ac472f3408 |
completed | April 1, 2026, 12:17 a.m. |
Created at: March 30, 2026, 5:30 p.m.