Triple
T19565500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Lörrach |
E489570
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Hasel
Hasel is a small municipality in the district of Lörrach in the state of Baden-Württemberg in southwestern Germany.
|
E1383167
|
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: Hasel | Statement: [district of Lörrach, containsMunicipality, Hasel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hasel Context triple: [district of Lörrach, containsMunicipality, Hasel]
-
A.
Kaspar
Kaspar is a 1967 play by Austrian writer Peter Handke that explores language, identity, and social conditioning through the story of a speechless outsider molded by external voices.
-
B.
Gantenbein
Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
-
C.
Eberl
Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
-
D.
Bernharda
Bernharda is a feminine given name, primarily used in Central and Eastern Europe, derived from the masculine name Bernhard.
-
E.
Bebel
Bebel is the Brazilian-American singer and songwriter Bebel Gilberto, known for her modern bossa nova and electronic-influenced music.
- 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: Hasel Triple: [district of Lörrach, containsMunicipality, Hasel]
Generated description
Hasel is a small municipality in the district of Lörrach in the state of Baden-Württemberg in southwestern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hasel Target entity description: Hasel is a small municipality in the district of Lörrach in the state of Baden-Württemberg in southwestern Germany.
-
A.
Kaspar
Kaspar is a 1967 play by Austrian writer Peter Handke that explores language, identity, and social conditioning through the story of a speechless outsider molded by external voices.
-
B.
Gantenbein
Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
-
C.
Eberl
Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
-
D.
Bernharda
Bernharda is a feminine given name, primarily used in Central and Eastern Europe, derived from the masculine name Bernhard.
-
E.
Bebel
Bebel is the Brazilian-American singer and songwriter Bebel Gilberto, known for her modern bossa nova and electronic-influenced music.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f777cf081909312b46ac09bce7c |
completed | April 20, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a075787d15c8190b680c74afa7b2220 |
completed | May 15, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_6a0758aeffb081909c100c7509010d54 |
completed | May 15, 2026, 5:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07598fdd908190b3f999b61447f8d2 |
completed | May 15, 2026, 5:36 p.m. |
Created at: April 10, 2026, 1:42 p.m.