Triple
T15380920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hildesheim district |
E367796
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bockenem
Bockenem is a small town in Lower Saxony, Germany, known for its rural character and location within the Hildesheim district.
|
E1203601
|
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: Bockenem | Statement: [Hildesheim district, contains, Bockenem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bockenem Context triple: [Hildesheim district, contains, Bockenem]
-
A.
Bockum
Bockum is a residential district of the German city of Krefeld, known for its green spaces and affluent neighborhoods.
-
B.
Bergheim
Bergheim is a municipality in the Austrian state of Salzburg, located just north of the city of Salzburg and known for its suburban character and proximity to the regional capital.
-
C.
Bergheim
Bergheim is a town in western Germany situated along the Erft River, known for its historical center and proximity to the Cologne region.
-
D.
Büttelborn
Büttelborn is a municipality in the Groß-Gerau district of Hesse, Germany, situated in the Rhine-Main region near the city of Darmstadt.
-
E.
Eppenhain
Eppenhain is a district of the town of Kelkheim in the Main-Taunus region of Hesse, Germany, known for its proximity to the Taunus hills and forested surroundings.
- 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: Bockenem Triple: [Hildesheim district, contains, Bockenem]
Generated description
Bockenem is a small town in Lower Saxony, Germany, known for its rural character and location within the Hildesheim district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bockenem Target entity description: Bockenem is a small town in Lower Saxony, Germany, known for its rural character and location within the Hildesheim district.
-
A.
Bockum
Bockum is a residential district of the German city of Krefeld, known for its green spaces and affluent neighborhoods.
-
B.
Bergheim
Bergheim is a town in western Germany situated along the Erft River, known for its historical center and proximity to the Cologne region.
-
C.
Bergheim
Bergheim is a municipality in the Austrian state of Salzburg, located just north of the city of Salzburg and known for its suburban character and proximity to the regional capital.
-
D.
Büttelborn
Büttelborn is a municipality in the Groß-Gerau district of Hesse, Germany, situated in the Rhine-Main region near the city of Darmstadt.
-
E.
Eppenhain
Eppenhain is a district of the town of Kelkheim in the Main-Taunus region of Hesse, Germany, known for its proximity to the Taunus hills and forested surroundings.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e61928c81908852c355d537ed9c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001799fbac8190b75a48a8c63e3381 |
completed | May 10, 2026, 5:28 a.m. |
| NEDg | Description generation | batch_6a00194c774881909f997ccbcf83ae7f |
completed | May 10, 2026, 5:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0019bd742c8190b91f230761d3bacb |
completed | May 10, 2026, 5:38 a.m. |
Created at: April 10, 2026, 3:19 a.m.