Triple
T3041409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberharz am Brocken |
E83137
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Rübeland |
E328446
|
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: Rübeland | Statement: [Oberharz am Brocken, hasPart, Rübeland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rübeland Context triple: [Oberharz am Brocken, hasPart, Rübeland]
-
A.
Rübeland
chosen
Rübeland is a village in the Harz Mountains of central Germany, known for its show caves and scenic natural surroundings.
-
B.
Kellerwald
Kellerwald is a low mountain forest region in central Germany known for its ancient beech woodlands and protected national park status.
-
C.
Flachsland
Flachsland is a German-language surname associated with individuals such as Maria Karoline Flachsland.
-
D.
Solling
Solling is a forested low mountain range in Lower Saxony, Germany, known for its extensive woodlands and role as a major part of the Weser Uplands.
-
E.
Wiehe
Wiehe is a small town in the German state of Thuringia, historically notable as the birthplace of the influential 19th-century historian Leopold von Ranke.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b5b92088190971bed04e65c5917 |
completed | March 8, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224b717e081909462645d78b33cc9 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:01 p.m.