Triple
T3041407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberharz am Brocken |
E83137
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Trautenstein |
E323945
|
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: Trautenstein | Statement: [Oberharz am Brocken, hasPart, Trautenstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trautenstein Context triple: [Oberharz am Brocken, hasPart, Trautenstein]
-
A.
Trautenstein
chosen
Trautenstein is a village in the Harz region of Saxony-Anhalt, Germany, now incorporated into the town of Oberharz am Brocken.
-
B.
Erzhausen
Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
-
C.
Aegidienberg
Aegidienberg is a district of the town of Bad Honnef in North Rhine-Westphalia, Germany, known for its scenic location in the Siebengebirge region.
-
D.
Hardtberg
Hardtberg is a borough of the German city of Bonn, located in the western part of the city and comprising several residential and administrative districts.
-
E.
Staffelberg
Staffelberg is a prominent table mountain in Upper Franconia, Germany, known for its scenic views, archaeological sites, and cultural significance in the surrounding region.
- 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_69b1f86cfcac81908122f1afd79ce29a |
completed | March 11, 2026, 11:19 p.m. |
Created at: March 8, 2026, 3:01 p.m.