Triple
T15473608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Böblingen district |
E376726
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Deckenpfronn
Deckenpfronn is a small municipality in the German state of Baden-Württemberg, situated in the Böblingen district near the northern edge of the Black Forest.
|
E1159149
|
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: Deckenpfronn | Statement: [Böblingen district, containsMunicipality, Deckenpfronn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deckenpfronn Context triple: [Böblingen district, containsMunicipality, Deckenpfronn]
-
A.
Himmelbett
Himmelbett was a German World War II night air defense system that coordinated radar, searchlights, and fighter aircraft to intercept Allied bombers.
-
B.
Tiège
Tiège is a village in the municipality of Jalhay in the province of Liège, Belgium.
-
C.
Unterdießen
Unterdießen is a small municipality in the district of Landsberg am Lech in Bavaria, Germany.
-
D.
Nordecke
Nordecke is the passionate supporters’ section of Major League Soccer club Columbus Crew, known for its loud atmosphere, coordinated chants, and vibrant matchday displays.
-
E.
Knuffingen
Knuffingen is a fictional miniature city featured in Hamburg’s Miniatur Wunderland, known for its detailed urban landscape and automated model railway and traffic systems.
- 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: Deckenpfronn Triple: [Böblingen district, containsMunicipality, Deckenpfronn]
Generated description
Deckenpfronn is a small municipality in the German state of Baden-Württemberg, situated in the Böblingen district near the northern edge of the Black Forest.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deckenpfronn Target entity description: Deckenpfronn is a small municipality in the German state of Baden-Württemberg, situated in the Böblingen district near the northern edge of the Black Forest.
-
A.
Himmelbett
Himmelbett was a German World War II night air defense system that coordinated radar, searchlights, and fighter aircraft to intercept Allied bombers.
-
B.
Tiège
Tiège is a village in the municipality of Jalhay in the province of Liège, Belgium.
-
C.
Unterdießen
Unterdießen is a small municipality in the district of Landsberg am Lech in Bavaria, Germany.
-
D.
Nordecke
Nordecke is the passionate supporters’ section of Major League Soccer club Columbus Crew, known for its loud atmosphere, coordinated chants, and vibrant matchday displays.
-
E.
Knuffingen
Knuffingen is a fictional miniature city featured in Hamburg’s Miniatur Wunderland, known for its detailed urban landscape and automated model railway and traffic systems.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6e859481909c3d08343b7ad27c |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d075e64819097061ef4c205577e |
completed | May 9, 2026, 12:48 p.m. |
| NEDg | Description generation | batch_69ff2e1fb27c81908de0d755bf30c833 |
completed | May 9, 2026, 12:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2f3ab6988190b4cefe2f55c4101c |
completed | May 9, 2026, 12:57 p.m. |
Created at: April 10, 2026, 3:34 a.m.