Triple
T13691394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unterallgäu |
E328272
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Lachen |
E752215
|
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: Lachen | Statement: [Unterallgäu, containsMunicipality, Lachen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lachen Context triple: [Unterallgäu, containsMunicipality, Lachen]
-
A.
Lachen
chosen
Lachen is a small district or locality within the Bavarian municipality of Dießen am Ammersee in Germany.
-
B.
Frümsel
Frümsel is a prominent mountain peak in the Churfirsten range of the Swiss Alps, known for its steep limestone faces and panoramic views over Lake Walen.
-
C.
Tägerwilen
Tägerwilen is a municipality in the canton of Thurgau in northeastern Switzerland, located near Lake Constance and the German border.
-
D.
Bittrich
Bittrich is a German surname most notably borne by Wilhelm Bittrich, a high-ranking Waffen-SS commander during World War II.
-
E.
Schlüchtern
Schlüchtern is a small town in eastern Hesse, Germany, known for its historic architecture and scenic location near the Vogelsberg and Rhön mountain ranges.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8746458819095ec1ba3c01ef31b |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7944b93d88190806d6b5735f7e794 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.