Triple
T15898941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bautzen district |
E385533
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Lohsa
Lohsa is a municipality in eastern Saxony, Germany, known for its lakes and forests within the Lusatian region.
|
E1183120
|
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: Lohsa | Statement: [Bautzen district, containsTown, Lohsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lohsa Context triple: [Bautzen district, containsTown, Lohsa]
-
A.
Kunes
Kunes is a small village in northern Norway, located within Lebesby Municipality in Troms og Finnmark county.
-
B.
Teckel
Teckel is another name for the dachshund, a small, long-bodied dog breed originally developed in Germany for hunting badgers and other burrowing animals.
-
C.
Briard
The Briard is a large, rugged French herding dog breed known for its long, wavy coat, strong work ethic, and loyal, protective nature.
-
D.
Ekegusii
Ekegusii is a Bantu language spoken primarily by the Abagusii people of western Kenya.
-
E.
Belgian Laekenois
The Belgian Laekenois is a rare, rough-coated herding dog breed from Belgium, known for its wiry coat, intelligence, and versatility in work and sport.
- 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: Lohsa Triple: [Bautzen district, containsTown, Lohsa]
Generated description
Lohsa is a municipality in eastern Saxony, Germany, known for its lakes and forests within the Lusatian region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lohsa Target entity description: Lohsa is a municipality in eastern Saxony, Germany, known for its lakes and forests within the Lusatian region.
-
A.
Kunes
Kunes is a small village in northern Norway, located within Lebesby Municipality in Troms og Finnmark county.
-
B.
Teckel
Teckel is another name for the dachshund, a small, long-bodied dog breed originally developed in Germany for hunting badgers and other burrowing animals.
-
C.
Briard
The Briard is a large, rugged French herding dog breed known for its long, wavy coat, strong work ethic, and loyal, protective nature.
-
D.
Ekegusii
Ekegusii is a Bantu language spoken primarily by the Abagusii people of western Kenya.
-
E.
Belgian Laekenois
The Belgian Laekenois is a rare, rough-coated herding dog breed from Belgium, known for its wiry coat, intelligence, and versatility in work and sport.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563bd0688190b6f7a695be0a4625 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb04d4d1c819091d9b3357ca0deca |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb190ae4881909ac299dfa6e7d9b6 |
completed | May 9, 2026, 10:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb25747148190bc96cf19acf85e29 |
completed | May 9, 2026, 10:16 p.m. |
Created at: April 10, 2026, 4:51 a.m.