Triple
T8020412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thuringian Basin |
E186725
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Ettersberg |
E313278
|
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: Ettersberg | Statement: [Thuringian Basin, borderedBy, Ettersberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ettersberg Context triple: [Thuringian Basin, borderedBy, Ettersberg]
-
A.
Ettersberg
chosen
Ettersberg is a hill and surrounding area near Weimar in Thuringia, Germany, historically known as the site of the Buchenwald concentration camp.
-
B.
Oberhalbstein
Oberhalbstein is a high Alpine valley and region in the canton of Graubünden, Switzerland, known for its Romansh-speaking communities and mountain landscapes.
-
C.
Limpertsberg
Limpertsberg is an affluent residential and educational district of Luxembourg City known for its elegant townhouses, schools, and proximity to the city center.
-
D.
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.
-
E.
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.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e8d90488190b57d1e748e272061 |
completed | March 31, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd33f9074c8190aeefc7f5283017e9 |
completed | April 1, 2026, 3:04 p.m. |
Created at: March 30, 2026, 5:20 p.m.