Triple
T11367777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edersee |
E269254
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Edertal |
E897434
|
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: Edertal | Statement: [Edersee, nearCity, Edertal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edertal Context triple: [Edersee, nearCity, Edertal]
-
A.
Edertal
chosen
Edertal is a rural municipality in the Waldeck-Frankenberg district of Hesse, Germany, known for its proximity to the Edersee reservoir and Kellerwald-Edersee National Park.
-
B.
Kammeltal
Kammeltal is a municipality in the Bavarian region of Swabia in southern Germany.
-
C.
Valsertal
Valsertal is a scenic alpine valley in the Swiss canton of Graubünden, known for its mountainous landscapes and the village of Vals.
-
D.
Lautertal
Lautertal is a municipality in the Bavarian region of Germany, situated within the Coburg district.
-
E.
Twistetal
Twistetal is a small municipality in the Waldeck-Frankenberg district of northern Hesse, Germany, known for its rural character and proximity to the Edersee and Kellerwald-Edersee National Park.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea88558c8190aa18881af51a7b96 |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58bb3bd648190affa7ee85027c958 |
completed | April 20, 2026, 2:13 a.m. |
Created at: April 8, 2026, 9:33 p.m.