Triple
T13739608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geraardsbergen |
E330048
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Grimminge
Grimminge is a village in the Belgian city of Geraardsbergen, known for its rural character and historic church.
|
E1057666
|
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: Grimminge | Statement: [Geraardsbergen, contains, Grimminge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grimminge Context triple: [Geraardsbergen, contains, Grimminge]
-
A.
Grimburgwal
Grimburgwal is a historic canal and street in central Amsterdam, known for its picturesque bridges and proximity to the city’s medieval core.
-
B.
Grimmen
Grimmen is a small town in northeastern Germany’s Mecklenburg-Vorpommern state, known for its historic center and location near the Baltic Sea coast.
-
C.
Edigheim
Edigheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
-
D.
Obersontheim
Obersontheim is a small municipality in the German state of Baden-Württemberg, known as the birthplace of the poet and composer Christian Friedrich Daniel Schubart.
-
E.
Lauterbourg
Lauterbourg is a small French town in the Alsace region near the German border, known for its cross-border role within the Upper Rhine area and its historic Rhine river setting.
- 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: Grimminge Triple: [Geraardsbergen, contains, Grimminge]
Generated description
Grimminge is a village in the Belgian city of Geraardsbergen, known for its rural character and historic church.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grimminge Target entity description: Grimminge is a village in the Belgian city of Geraardsbergen, known for its rural character and historic church.
-
A.
Grimburgwal
Grimburgwal is a historic canal and street in central Amsterdam, known for its picturesque bridges and proximity to the city’s medieval core.
-
B.
Grimmen
Grimmen is a small town in northeastern Germany’s Mecklenburg-Vorpommern state, known for its historic center and location near the Baltic Sea coast.
-
C.
Edigheim
Edigheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
-
D.
Obersontheim
Obersontheim is a small municipality in the German state of Baden-Württemberg, known as the birthplace of the poet and composer Christian Friedrich Daniel Schubart.
-
E.
Lauterbourg
Lauterbourg is a small French town in the Alsace region near the German border, known for its cross-border role within the Upper Rhine area and its historic Rhine river setting.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0204d50c8190a5413cc9a1b26e14 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d6bce9881909209231f6dfcf9bf |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79e7869648190ab0157bd0480b219 |
completed | May 3, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79f7216b08190800165d46172222c |
completed | May 3, 2026, 7:18 p.m. |
Created at: April 9, 2026, 9:55 p.m.