Triple
T15380929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hildesheim district |
E367796
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lamspringe
Lamspringe is a small municipality in Lower Saxony, Germany, known for its historic former Benedictine monastery and rural setting within the Hildesheim region.
|
E1152987
|
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: Lamspringe | Statement: [Hildesheim district, contains, Lamspringe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamspringe Context triple: [Hildesheim district, contains, Lamspringe]
-
A.
Scherpenisse
Scherpenisse is a village in the Dutch province of Zeeland, located on the island of Tholen.
-
B.
Maasbracht
Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
-
C.
Rotselaar
Rotselaar is a municipality in the Flemish Brabant province of Belgium, known for its residential character and proximity to the city of Leuven.
-
D.
Oesling
Oesling is the sparsely populated, hilly and forested northern region of Luxembourg, forming part of the Ardennes.
-
E.
Cromstrijen
Cromstrijen was a former municipality in the Dutch province of South Holland, comprising several villages on the island of Hoeksche Waard.
- 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: Lamspringe Triple: [Hildesheim district, contains, Lamspringe]
Generated description
Lamspringe is a small municipality in Lower Saxony, Germany, known for its historic former Benedictine monastery and rural setting within the Hildesheim region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lamspringe Target entity description: Lamspringe is a small municipality in Lower Saxony, Germany, known for its historic former Benedictine monastery and rural setting within the Hildesheim region.
-
A.
Scherpenisse
Scherpenisse is a village in the Dutch province of Zeeland, located on the island of Tholen.
-
B.
Maasbracht
Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
-
C.
Rotselaar
Rotselaar is a municipality in the Flemish Brabant province of Belgium, known for its residential character and proximity to the city of Leuven.
-
D.
Oesling
Oesling is the sparsely populated, hilly and forested northern region of Luxembourg, forming part of the Ardennes.
-
E.
Cromstrijen
Cromstrijen was a former municipality in the Dutch province of South Holland, comprising several villages on the island of Hoeksche Waard.
- 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_69ff0b5996408190afab2221d38e0027 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0bf572bc819088ee173d1e0bf5b0 |
completed | May 9, 2026, 10:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0d5d01308190b1f920042e12b0f3 |
completed | May 9, 2026, 10:33 a.m. |
Created at: April 10, 2026, 3:19 a.m.