Triple
T16479765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breisgau-Hochschwarzwald |
E400283
|
entity |
| Predicate | containsPart |
P35
|
FINISHED |
| Object | Feldberg (Black Forest) |
E89914
|
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: Feldberg (Black Forest) | Statement: [Breisgau-Hochschwarzwald, containsPart, Feldberg (Black Forest)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feldberg (Black Forest) Context triple: [Breisgau-Hochschwarzwald, containsPart, Feldberg (Black Forest)]
-
A.
Feldberg
Feldberg is a small town in northeastern Germany known for its scenic lakes and forests within the Mecklenburg Lake District.
-
B.
Feldberg
chosen
Feldberg is the tallest mountain in Germany’s Black Forest region, known for its scenic landscapes and popular hiking and skiing opportunities.
-
C.
Großer Feldberg
Großer Feldberg is a prominent mountain in Hesse, Germany, known for its scenic views, hiking trails, and telecommunications facilities.
-
D.
Kleiner Feldberg
Kleiner Feldberg is a secondary summit in the Taunus mountain range in Hesse, Germany, known for its elevation and nearby scientific and meteorological facilities.
-
E.
Felsberg
Felsberg is a settlement located in the historical region of Westphalia in western Germany.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e01f6c88190b75a0d6c94786426 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f60ea8881908f073a28c407a1f4 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:13 a.m.