Triple
T9505937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solling |
E229268
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
city of Holzminden
The city of Holzminden is a small town in Lower Saxony, Germany, known for its location on the Weser River and its fragrance and flavor industry.
|
E803278
|
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: city of Holzminden | Statement: [Solling, locatedNear, city of Holzminden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Holzminden Context triple: [Solling, locatedNear, city of Holzminden]
-
A.
Helmstedt
Helmstedt is a historic town in Lower Saxony, Germany, known for its medieval architecture and former university.
-
B.
Northeim
Northeim is a town in Lower Saxony, Germany, known for its medieval old town and location in the Leine River valley.
-
C.
Hildesheim
Hildesheim is a historic city in northern Germany renowned for its medieval architecture and UNESCO-listed Romanesque churches.
-
D.
Neubrandenburg
Neubrandenburg is a historic city in northeastern Germany known for its well-preserved medieval brick Gothic architecture and distinctive city wall with multiple gate towers.
-
E.
Halberstadt
Halberstadt is a historic town in the German state of Saxony-Anhalt, known for its medieval architecture and role as a former episcopal seat.
- 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: city of Holzminden Triple: [Solling, locatedNear, city of Holzminden]
Generated description
The city of Holzminden is a small town in Lower Saxony, Germany, known for its location on the Weser River and its fragrance and flavor industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: city of Holzminden Target entity description: The city of Holzminden is a small town in Lower Saxony, Germany, known for its location on the Weser River and its fragrance and flavor industry.
-
A.
Helmstedt
Helmstedt is a historic town in Lower Saxony, Germany, known for its medieval architecture and former university.
-
B.
Northeim
Northeim is a town in Lower Saxony, Germany, known for its medieval old town and location in the Leine River valley.
-
C.
Hildesheim
Hildesheim is a historic city in northern Germany renowned for its medieval architecture and UNESCO-listed Romanesque churches.
-
D.
Neubrandenburg
Neubrandenburg is a historic city in northeastern Germany known for its well-preserved medieval brick Gothic architecture and distinctive city wall with multiple gate towers.
-
E.
Halberstadt
Halberstadt is a historic town in the German state of Saxony-Anhalt, known for its medieval architecture and role as a former episcopal seat.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9852b7e48190a8f69cbde10d2858 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a1de2d88190a6a10379d2297510 |
completed | April 4, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69d13ad61c6c8190baad9c4f166ca1ae |
completed | April 4, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d13b4a7b808190badf83c88fb06b82 |
completed | April 4, 2026, 4:24 p.m. |
Created at: March 30, 2026, 7:57 p.m.