Triple
T8857635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Höllental |
E210797
|
entity |
| Predicate | drainage |
P1559
|
FINISHED |
| Object | Hammersbach |
E768699
|
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: Hammersbach | Statement: [Höllental, drainage, Hammersbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hammersbach Context triple: [Höllental, drainage, Hammersbach]
-
A.
Hammersbach
chosen
Hammersbach is a village in the Bavarian Alps of Germany that serves as a popular gateway for hiking and mountaineering routes into the nearby mountains, including the Höllental valley.
-
B.
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.
-
C.
Eschbach
Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
-
D.
Lüßbach
Lüßbach is a small river in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg.
-
E.
Miedelsbach
Miedelsbach is a village and district of the town of Schorndorf in the Rems-Murr district of Baden-Württemberg, 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e3b62c8190bf779e7e1db767f6 |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d04729c39c8190a88a28288653399b |
completed | April 3, 2026, 11:03 p.m. |
Created at: March 30, 2026, 6:50 p.m.