Triple
T4249466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagold |
E95811
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Nagold (town) |
E95811
|
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: Nagold (town) | Statement: [Nagold, flowsThrough, Nagold (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagold (town) Context triple: [Nagold, flowsThrough, Nagold (town)]
-
A.
Nagold
chosen
Nagold is a river in southwestern Germany that flows through the Black Forest region before joining the Enz River.
-
B.
Küsnacht
Küsnacht is a picturesque Swiss municipality on the shores of Lake Zurich, known for its affluent residential character and scenic lakeside setting.
-
C.
Achern
Achern is a small German town in the state of Baden-Württemberg, located near the Black Forest and close to the French border in the Upper Rhine region.
-
D.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
-
E.
Schönmünz
Schönmünz is a small river in the Black Forest region of southwestern Germany that flows through Baden-Württemberg before joining the Murg.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e9df10881908a2f039773f8afaa |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a87fdca481908bd2c80b10d0dd3d |
completed | March 14, 2026, 6:27 p.m. |
Created at: March 12, 2026, 11:06 p.m.