Triple
T15380924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hildesheim district |
E367796
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Schellerten
Schellerten is a rural municipality in Lower Saxony, Germany, characterized by its agricultural landscape and small-village communities.
|
E1155230
|
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: Schellerten | Statement: [Hildesheim district, contains, Schellerten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schellerten Context triple: [Hildesheim district, contains, Schellerten]
-
A.
Brenkhausen
Brenkhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
-
B.
Riedesel
Riedesel is a German surname historically associated with noble families and notable figures such as military officers and diplomats.
-
C.
Wiedensahl
Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
-
D.
Scherpenisse
Scherpenisse is a village in the Dutch province of Zeeland, located on the island of Tholen.
-
E.
Erwitte
Erwitte is a small town in the German state of North Rhine-Westphalia, known for its historic architecture and location in the Soest district.
- 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: Schellerten Triple: [Hildesheim district, contains, Schellerten]
Generated description
Schellerten is a rural municipality in Lower Saxony, Germany, characterized by its agricultural landscape and small-village communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schellerten Target entity description: Schellerten is a rural municipality in Lower Saxony, Germany, characterized by its agricultural landscape and small-village communities.
-
A.
Brenkhausen
Brenkhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
-
B.
Riedesel
Riedesel is a German surname historically associated with noble families and notable figures such as military officers and diplomats.
-
C.
Wiedensahl
Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
-
D.
Scherpenisse
Scherpenisse is a village in the Dutch province of Zeeland, located on the island of Tholen.
-
E.
Erwitte
Erwitte is a small town in the German state of North Rhine-Westphalia, known for its historic architecture and location in the Soest district.
- 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_69ff1347c8448190aa1088d66bca2722 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff145ac8e081908b075cee67e82aa3 |
completed | May 9, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1509e5a48190b69f1a44d793e07d |
completed | May 9, 2026, 11:05 a.m. |
Created at: April 10, 2026, 3:19 a.m.