Triple
T16465197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neuenheim |
E399911
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Handschuhsheim
Handschuhsheim is a historic district of Heidelberg in southwestern Germany, known for its village-like character, old town center, and vineyards.
|
E1215669
|
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: Handschuhsheim | Statement: [Neuenheim, adjacentTo, Handschuhsheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Handschuhsheim Context triple: [Neuenheim, adjacentTo, Handschuhsheim]
-
A.
Höchheim
Höchheim is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
-
B.
Schweinheim
Schweinheim is a residential district within the Bad Godesberg borough of Bonn in western Germany.
-
C.
Marlenheim
Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
-
D.
Mainstockheim
Mainstockheim is a small municipality in the Franconian region of northern Bavaria, Germany, situated along the Main River and known for its winegrowing tradition.
-
E.
Haunsheim
Haunsheim is a small municipality in the Bavarian region of southern Germany, known for its rural character and historic village setting.
- 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: Handschuhsheim Triple: [Neuenheim, adjacentTo, Handschuhsheim]
Generated description
Handschuhsheim is a historic district of Heidelberg in southwestern Germany, known for its village-like character, old town center, and vineyards.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Handschuhsheim Target entity description: Handschuhsheim is a historic district of Heidelberg in southwestern Germany, known for its village-like character, old town center, and vineyards.
-
A.
Höchheim
Höchheim is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
-
B.
Schweinheim
Schweinheim is a residential district within the Bad Godesberg borough of Bonn in western Germany.
-
C.
Marlenheim
Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
-
D.
Mainstockheim
Mainstockheim is a small municipality in the Franconian region of northern Bavaria, Germany, situated along the Main River and known for its winegrowing tradition.
-
E.
Haunsheim
Haunsheim is a small municipality in the Bavarian region of southern Germany, known for its rural character and historic village setting.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d841f348190958a25f35034edff |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f575ed48190a24d6af74565189d |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a00525b579c81909df181059d0e3db8 |
completed | May 10, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0052ee614881908eb8f7c031ff8f7c |
completed | May 10, 2026, 9:42 a.m. |
Created at: April 10, 2026, 5:10 a.m.