Triple
T8922266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unterdießen |
E212451
|
entity |
| Predicate | hasAdministrativeCentre |
P1474
|
FINISHED |
| Object |
Unterdießen
Unterdießen is a small municipality in the district of Landsberg am Lech in Bavaria, Germany.
|
E765884
|
NE FINISHED |
How this triple was built (4 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: Unterdießen | Statement: [Unterdießen, hasAdministrativeCentre, Unterdießen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unterdießen Context triple: [Unterdießen, hasAdministrativeCentre, Unterdießen]
-
A.
Unterägeri
Unterägeri is a Swiss municipality in the canton of Zug, known for its scenic location by Lake Ägeri and surrounding pre-Alpine landscapes.
-
B.
Schmutter
The Schmutter is a river in Bavaria, Germany, known as a regional tributary that flows through the Swabian landscape before joining the Wertach.
-
C.
Eningen unter Achalm
Eningen unter Achalm is a municipality in the German state of Baden-Württemberg, situated at the foot of the Achalm mountain near the city of Reutlingen.
-
D.
Wellblechpalast
Wellblechpalast is an ice hockey arena in Berlin best known as the longtime home of the Eisbären Berlin before their move to larger, modern venues.
-
E.
Am Hof
Am Hof is a historic square in Vienna’s Innere Stadt district, known for its medieval origins, notable architecture, and role as a former center of civic and religious life.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Unterdießen Triple: [Unterdießen, hasAdministrativeCentre, Unterdießen]
Generated description
Unterdießen is a small municipality in the district of Landsberg am Lech in Bavaria, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Unterdießen Target entity description: Unterdießen is a small municipality in the district of Landsberg am Lech in Bavaria, Germany.
-
A.
Unterägeri
Unterägeri is a Swiss municipality in the canton of Zug, known for its scenic location by Lake Ägeri and surrounding pre-Alpine landscapes.
-
B.
Schmutter
The Schmutter is a river in Bavaria, Germany, known as a regional tributary that flows through the Swabian landscape before joining the Wertach.
-
C.
Eningen unter Achalm
Eningen unter Achalm is a municipality in the German state of Baden-Württemberg, situated at the foot of the Achalm mountain near the city of Reutlingen.
-
D.
Wellblechpalast
Wellblechpalast is an ice hockey arena in Berlin best known as the longtime home of the Eisbären Berlin before their move to larger, modern venues.
-
E.
Am Hof
Am Hof is a historic square in Vienna’s Innere Stadt district, known for its medieval origins, notable architecture, and role as a former center of civic and religious life.
- F. None of above. chosen
Provenance (5 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_69ca839481d48190b42b037e0d0f636c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc665143688190872c681f4299bd9f |
completed | April 1, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba4f094c81909a30d3be640ac9e0 |
completed | April 3, 2026, 1:02 p.m. |
| NEDg | Description generation | batch_69cfbb5fe4f48190bd86c7606b1993bc |
completed | April 3, 2026, 1:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfbbcc6db8819080be0b2ae55837e2 |
completed | April 3, 2026, 1:08 p.m. |
Created at: March 30, 2026, 6:56 p.m.