Triple
T14926933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sächsische Schweiz-Osterzgebirge |
E372156
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Altenberg |
E1079016
|
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: Altenberg | Statement: [Sächsische Schweiz-Osterzgebirge, containsTown, Altenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altenberg Context triple: [Sächsische Schweiz-Osterzgebirge, containsTown, Altenberg]
-
A.
Altenberg
Altenberg is an Austrian town best known as the longtime home and place of death of Nobel Prize–winning ethologist Konrad Lorenz.
-
B.
Altenberg
chosen
Altenberg is a town in the Ore Mountains of Saxony, Germany, known historically as a mining settlement and later as a spa and winter sports resort.
-
C.
Altenberge
Altenberge is a small municipality in North Rhine-Westphalia, Germany, known for its rural character and proximity to the city of Münster.
-
D.
Neuötting
Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
-
E.
Baltschieder
Baltschieder is a small Swiss municipality in the canton of Valais, located in the Upper Valais region of the Alps.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded633da0c8190b39f606212e48e71 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e88e4a08190a56b4a1336e07bdf |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:35 a.m.