Triple
T10215692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Havelland |
E242434
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Brieselang
Brieselang is a municipality in the Havelland district of Brandenburg, Germany, known for its residential character and proximity to Berlin.
|
E850650
|
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: Brieselang | Statement: [Havelland, containsMunicipality, Brieselang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brieselang Context triple: [Havelland, containsMunicipality, Brieselang]
-
A.
Schippenbeil
Schippenbeil is the former German name for the town now known as Sępopol in northeastern Poland.
-
B.
Breselenz
Breselenz is a small village in Lower Saxony, Germany, best known as the birthplace of the mathematician Bernhard Riemann.
-
C.
Langerak
Langerak is a small village in the Dutch province of South Holland, known for its rural character and location along the Lek River.
-
D.
Neerlangel
Neerlangel is a small village in the Dutch province of North Brabant that forms part of the municipality of Oss.
-
E.
Gailingen
Gailingen is a village in the German municipality of Gailingen am Hochrhein in the state of Baden-Württemberg, near the Swiss border along the High Rhine.
- 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: Brieselang Triple: [Havelland, containsMunicipality, Brieselang]
Generated description
Brieselang is a municipality in the Havelland district of Brandenburg, Germany, known for its residential character and proximity to Berlin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brieselang Target entity description: Brieselang is a municipality in the Havelland district of Brandenburg, Germany, known for its residential character and proximity to Berlin.
-
A.
Schippenbeil
Schippenbeil is the former German name for the town now known as Sępopol in northeastern Poland.
-
B.
Breselenz
Breselenz is a small village in Lower Saxony, Germany, best known as the birthplace of the mathematician Bernhard Riemann.
-
C.
Langerak
Langerak is a small village in the Dutch province of South Holland, known for its rural character and location along the Lek River.
-
D.
Neerlangel
Neerlangel is a small village in the Dutch province of North Brabant that forms part of the municipality of Oss.
-
E.
Gailingen
Gailingen is a village in the German municipality of Gailingen am Hochrhein in the state of Baden-Württemberg, near the Swiss border along the High Rhine.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa2894d0819095704449ecc2db6c |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a804e8748190b4ebcfa9a0bb889f |
completed | April 8, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69d6d0003434819093e3f82a556db79c |
completed | April 8, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6df3c8f748190923db41ef1a9a03a |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 6, 2026, 11:05 a.m.