Triple
T9092215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biebrich |
E217916
|
entity |
| Predicate | hasNeighboringDistrict |
P17964
|
FINISHED |
| Object |
Schierstein
Schierstein is a riverside district of Wiesbaden in the German state of Hesse, known for its harbor and waterfront along the Rhine.
|
E796306
|
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: Schierstein | Statement: [Biebrich, hasNeighboringDistrict, Schierstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schierstein Context triple: [Biebrich, hasNeighboringDistrict, Schierstein]
-
A.
Olsberg
Olsberg is a small town in the Hochsauerland region of North Rhine-Westphalia, Germany, known for its scenic location in the Sauerland hills and outdoor recreation opportunities.
-
B.
Steenbergen
Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
-
C.
Steenbergen
Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
-
D.
Rozenburg
Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
-
E.
Rozenburg
Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
- 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: Schierstein Triple: [Biebrich, hasNeighboringDistrict, Schierstein]
Generated description
Schierstein is a riverside district of Wiesbaden in the German state of Hesse, known for its harbor and waterfront along the Rhine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schierstein Target entity description: Schierstein is a riverside district of Wiesbaden in the German state of Hesse, known for its harbor and waterfront along the Rhine.
-
A.
Olsberg
Olsberg is a small town in the Hochsauerland region of North Rhine-Westphalia, Germany, known for its scenic location in the Sauerland hills and outdoor recreation opportunities.
-
B.
Steenbergen
Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
-
C.
Steenbergen
Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
-
D.
Rozenburg
Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
-
E.
Rozenburg
Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
- 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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b18b24819097b525ddad3a85c0 |
completed | April 1, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100aef084819086c68bf539343555 |
completed | April 4, 2026, 12:14 p.m. |
| NEDg | Description generation | batch_69d102a409208190be850a226709c8ce |
completed | April 4, 2026, 12:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d102f969188190b62fe3b8e7035b1d |
completed | April 4, 2026, 12:24 p.m. |
Created at: March 30, 2026, 7:14 p.m.