Triple
T22422695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NKVD Special Camp No. 1 Mühlberg |
E554288
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Mühlberg
Mühlberg is a town in eastern Germany known historically for its military sites and World War II–era detention and special camps.
|
E1537104
|
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: Mühlberg | Statement: [NKVD Special Camp No. 1 Mühlberg, locatedIn, Mühlberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mühlberg Context triple: [NKVD Special Camp No. 1 Mühlberg, locatedIn, Mühlberg]
-
A.
Mühlbeck
Mühlbeck is a small settlement in Saxony-Anhalt, Germany, situated near the Goitzsche landscape park and the town of Bitterfeld.
-
B.
Diebach
Diebach is a small village and district of the town of Hammelburg in the Bavarian region of Germany.
-
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.
Wuhletal
Wuhletal is a valley landscape in Berlin shaped by the course of the Wuhle river, featuring green spaces, walking paths, and recreational areas.
-
E.
Kienbach
Kienbach is a small river in Bavaria, Germany, that flows through the municipality of Herrsching am Ammersee into Lake Ammersee.
- 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: Mühlberg Triple: [NKVD Special Camp No. 1 Mühlberg, locatedIn, Mühlberg]
Generated description
Mühlberg is a town in eastern Germany known historically for its military sites and World War II–era detention and special camps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mühlberg Target entity description: Mühlberg is a town in eastern Germany known historically for its military sites and World War II–era detention and special camps.
-
A.
Mühlbeck
Mühlbeck is a small settlement in Saxony-Anhalt, Germany, situated near the Goitzsche landscape park and the town of Bitterfeld.
-
B.
Diebach
Diebach is a small village and district of the town of Hammelburg in the Bavarian region of Germany.
-
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.
Wuhletal
Wuhletal is a valley landscape in Berlin shaped by the course of the Wuhle river, featuring green spaces, walking paths, and recreational areas.
-
E.
Kienbach
Kienbach is a small river in Bavaria, Germany, that flows through the municipality of Herrsching am Ammersee into Lake Ammersee.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2a1a3c8190a649ee4df2429e69 |
completed | April 29, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b0c66eaa88190a58d646620de8612 |
completed | May 18, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0b0d8a6024819093541ef45e3a22b4 |
completed | May 18, 2026, 1 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b0de37c208190ac16ec35b1a8edee |
completed | May 18, 2026, 1:02 p.m. |
Created at: April 16, 2026, 8:47 p.m.