Triple
T14199246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bundesstraße 42 |
E351919
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Braubach |
E366295
|
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: Braubach | Statement: [Bundesstraße 42, connects, Braubach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Braubach Context triple: [Bundesstraße 42, connects, Braubach]
-
A.
Braubach
chosen
Braubach is a historic town on the Rhine River in Germany, best known for its well-preserved medieval architecture and the prominent Marksburg Castle overlooking it.
-
B.
Braunsbach
Braunsbach is a small municipality in the German state of Baden-Württemberg, known for being severely damaged by flash floods during the 2016 European flooding events.
-
C.
Brombach
Brombach is a small village and district within the municipality of Schmitten in the Hochtaunus region of Hesse, Germany.
-
D.
Borbach
Borbach is a small river or stream associated with the city of Witten in North Rhine-Westphalia, Germany.
-
E.
Ruppichteroth
Ruppichteroth is a small municipality in western Germany’s North Rhine-Westphalia region, characterized by its rural setting and proximity to the metropolitan area of Cologne-Bonn.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f472548190a1a7edc40526eac3 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff36455f788190a63507ecda42b04c |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 1:04 a.m.