Triple
T10143721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obersee (Bavaria) |
E231648
|
entity |
| Predicate | hasOutflow |
P967
|
FINISHED |
| Object | Saletbach |
E221415
|
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: Saletbach | Statement: [Obersee (Bavaria), hasOutflow, Saletbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saletbach Context triple: [Obersee (Bavaria), hasOutflow, Saletbach]
-
A.
Saletbach
chosen
Saletbach is a mountain stream in the Bavarian Alps that feeds into the Königssee, known for its clear waters and scenic alpine surroundings.
-
B.
Sasbach
Sasbach is a municipality in southwestern Germany near the Rhine, historically noted as the battlefield where the French marshal Turenne was killed in 1675.
-
C.
Luterbach
Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
-
D.
Nanzenbach
Nanzenbach is a village-level district that forms part of the town of Dillenburg in the Lahn-Dill-Kreis of Hesse, Germany.
-
E.
Kaltenbach
Kaltenbach is a small Austrian village and ski resort town in the Zillertal Valley, known for its access to the Hochzillertal-Hochfügen ski area.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb28a1708190b46499dbe51a694a |
completed | April 2, 2026, 4:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94ae0a9608190ab241b6a62fe807b |
completed | April 10, 2026, 7:09 p.m. |
Created at: March 30, 2026, 9:07 p.m.