Triple
T5186599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grünheide (Mark) |
E117045
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Kagel
Kagel is a small village in the municipality of Grünheide (Mark) in the Oder-Spree district of Brandenburg, Germany.
|
E501873
|
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: Kagel | Statement: [Grünheide (Mark), hasSubdivision, Kagel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kagel Context triple: [Grünheide (Mark), hasSubdivision, Kagel]
-
A.
Kragle
The Kragle is a powerful superweapon made from a tube of Krazy Glue that the villain Lord Business uses to freeze the LEGO world in place in *The LEGO Movie*.
-
B.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
C.
Kaag
Kaag is a small Dutch village in South Holland known for its island setting in the Kagerplassen lake area and its traditional water sports and boating culture.
-
D.
Le Kram
Le Kram is a coastal town and suburb of Tunis in northeastern Tunisia, known for its proximity to the capital and the Gulf of Tunis.
-
E.
Kiesen
Kiesen is a municipality in the canton of Bern, Switzerland, served by a station on the Bern–Thun railway line.
- 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: Kagel Triple: [Grünheide (Mark), hasSubdivision, Kagel]
Generated description
Kagel is a small village in the municipality of Grünheide (Mark) in the Oder-Spree district of Brandenburg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kagel Target entity description: Kagel is a small village in the municipality of Grünheide (Mark) in the Oder-Spree district of Brandenburg, Germany.
-
A.
Kragle
The Kragle is a powerful superweapon made from a tube of Krazy Glue that the villain Lord Business uses to freeze the LEGO world in place in *The LEGO Movie*.
-
B.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
C.
Kaag
Kaag is a small Dutch village in South Holland known for its island setting in the Kagerplassen lake area and its traditional water sports and boating culture.
-
D.
Le Kram
Le Kram is a coastal town and suburb of Tunis in northeastern Tunisia, known for its proximity to the capital and the Gulf of Tunis.
-
E.
Kiesen
Kiesen is a municipality in the canton of Bern, Switzerland, served by a station on the Bern–Thun railway line.
- 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c3e9e08190848be4208b72f310 |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee08807748190ae8f34a6e8875c15 |
completed | March 21, 2026, 6:16 p.m. |
| NEDg | Description generation | batch_69bee66191dc8190847fe13f2cda0000 |
completed | March 21, 2026, 6:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bee6e8bbcc819094f5f04743eb4013 |
completed | March 21, 2026, 6:43 p.m. |
Created at: March 20, 2026, 1:46 p.m.