Triple
T2938176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brocken |
E79319
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Harz mountains |
E14581
|
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: Harz mountains | Statement: [Brocken, locatedIn, Harz mountains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harz mountains Context triple: [Brocken, locatedIn, Harz mountains]
-
A.
Harz
chosen
Harz is a low mountain range in central Germany known for its dense forests, mining history, and association with German folklore such as the Brocken and Walpurgis Night.
-
B.
Rhön
Rhön is a low mountain range in central Germany known for its volcanic landscape, open plateaus, and designation as a UNESCO Biosphere Reserve.
-
C.
Oberharz am Brocken
Oberharz am Brocken is a municipality in the Upper Harz region of central Germany, known for its mountainous landscape, forests, and proximity to the Brocken, the highest peak in the Harz.
-
D.
Thuringian Forest
The Thuringian Forest is a low mountain range in central Germany known for its dense woodlands, scenic hiking trails, and the historic Rennsteig ridgeway.
-
E.
Erzgebirge
Erzgebirge is a low mountain range along the German-Czech border, known for its historic mining heritage, traditional woodcraft, and winter sports tourism.
- 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_69ad8b0fbab081908f6a61567c045d8d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad986c1c0c8190a6a9f17082438cfd |
completed | March 8, 2026, 3:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1de8f4d94819086527165d7da11c5 |
completed | March 11, 2026, 9:28 p.m. |
Created at: March 8, 2026, 2:56 p.m.