Triple
T14484835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Albert of Prussia |
E359198
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Kammerforst |
E1101048
|
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: Kammerforst | Statement: [Prince Albert of Prussia, residence, Kammerforst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kammerforst Context triple: [Prince Albert of Prussia, residence, Kammerforst]
-
A.
Kammerforst
chosen
Kammerforst is a locality in Germany notable as the place where Prince Albert of Prussia died.
-
B.
Kottenforst
Kottenforst is a large forested area in western Germany known for its beech woodlands, biodiversity, and extensive network of hiking and cycling trails.
-
C.
Granitz Forest
Granitz Forest is a scenic woodland area on Germany’s Rügen Island, known for its beech forests, hiking trails, and the historic Granitz Hunting Lodge.
-
D.
Knüllwald
Knüllwald is a municipality in central Germany known for its rural character and forested landscapes within the state of Hesse.
-
E.
Habichtswald
Habichtswald is a low mountain range and forested natural area in central Germany, known for its scenic landscapes and hiking trails near the city of Kassel.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924d7f4c8190b1f62b5ffe1ff649 |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d8f1bf081908c37f8f41767b382 |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:20 a.m.