Triple
T9076435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hesse-Braubach |
E217495
|
entity |
| Predicate | locatedIn |
P40
|
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: [Hesse-Braubach, locatedIn, Braubach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Braubach Context triple: [Hesse-Braubach, locatedIn, 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.
Brombach
Brombach is a small village and district within the municipality of Schmitten in the Hochtaunus region of Hesse, Germany.
-
C.
Ödsbach
Ödsbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany, known for its scenic vineyards and Black Forest landscape.
-
D.
Oberharmersbach
Oberharmersbach is a small municipality in southwestern Germany’s Black Forest region, known for its rural landscape and traditional Baden culture.
-
E.
Grafenrheinfeld
Grafenrheinfeld is a small Bavarian town best known for hosting the former Grafenrheinfeld nuclear power plant on the Main River in northern Germany.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c6a67c81908d143aa25e1e803e |
completed | April 1, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14bc281688190b65b8224b70f08d7 |
completed | April 4, 2026, 5:34 p.m. |
Created at: March 30, 2026, 7:12 p.m.