Triple
T21252436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uckermark district |
E523776
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lychen
Lychen is a small town in northeastern Germany’s Brandenburg region, known for its surrounding lakes and forests and its history as a former health resort.
|
E1474295
|
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: Lychen | Statement: [Uckermark district, contains, Lychen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lychen Context triple: [Uckermark district, contains, Lychen]
-
A.
Lurtigen
Lurtigen is a small former municipality in the canton of Fribourg in western Switzerland.
-
B.
Eschenlaine
Eschenlaine is a small river in Bavaria, Germany, that serves as a tributary of the Loisach.
-
C.
Lycett
Lycett is a minor character appearing in the Doctor Who serial "The Ark in Space."
-
D.
Belpberg
Belpberg is a small former municipality in the canton of Bern, Switzerland, situated on a plateau above the Gürbetal valley and known for its rural, scenic landscape.
-
E.
Lossberg
Lossberg is a German surname most notably associated with the military strategist Fritz von Lossberg of the Imperial German Army during World War I.
- 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: Lychen Triple: [Uckermark district, contains, Lychen]
Generated description
Lychen is a small town in northeastern Germany’s Brandenburg region, known for its surrounding lakes and forests and its history as a former health resort.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lychen Target entity description: Lychen is a small town in northeastern Germany’s Brandenburg region, known for its surrounding lakes and forests and its history as a former health resort.
-
A.
Lurtigen
Lurtigen is a small former municipality in the canton of Fribourg in western Switzerland.
-
B.
Eschenlaine
Eschenlaine is a small river in Bavaria, Germany, that serves as a tributary of the Loisach.
-
C.
Lycett
Lycett is a minor character appearing in the Doctor Who serial "The Ark in Space."
-
D.
Belpberg
Belpberg is a small former municipality in the canton of Bern, Switzerland, situated on a plateau above the Gürbetal valley and known for its rural, scenic landscape.
-
E.
Lossberg
Lossberg is a German surname most notably associated with the military strategist Fritz von Lossberg of the Imperial German Army during World War I.
- 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7359f5b408190b951adddba83c97a |
completed | April 21, 2026, 8:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a098ff615bc8190b2e84ededa4a8367 |
completed | May 17, 2026, 9:52 a.m. |
| NEDg | Description generation | batch_6a0990e73c708190ac0f5d8847743773 |
completed | May 17, 2026, 9:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0991f9c9308190a2d90451e255a1c2 |
completed | May 17, 2026, 10:01 a.m. |
Created at: April 16, 2026, 3:57 p.m.