Triple
T15838636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DLR Trauen site |
E384044
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Faßberg |
E690128
|
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: Faßberg | Statement: [DLR Trauen site, locatedNear, Faßberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faßberg Context triple: [DLR Trauen site, locatedNear, Faßberg]
-
A.
Faßberg
chosen
Faßberg is a municipality in Lower Saxony, Germany, known for its location in the Lüneburg Heath and its historical military airbase.
-
B.
Löbau
Löbau is a small town in the Free State of Saxony in eastern Germany, known for its historic architecture and location in the Lusatian Highlands.
-
C.
Gevelsberg
Gevelsberg is a town in North Rhine-Westphalia, Germany, situated in the Ennepe-Ruhr district within the Ruhr metropolitan region.
-
D.
Wuhletal
Wuhletal is a valley landscape in Berlin shaped by the course of the Wuhle river, featuring green spaces, walking paths, and recreational areas.
-
E.
Trakehnen
Trakehnen was a renowned East Prussian stud farm and village, historically famous as the cradle of the Trakehner horse breed.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e4fa24819086a1a226082ac2d3 |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f372f7c8190ba04b8bd13bff95c |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 4:49 a.m.