Triple
T12682366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ins |
E302977
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Brüttelen
Brüttelen is a small municipality in the canton of Bern in Switzerland, known for its rural character and location in the Seeland region.
|
E997207
|
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: Brüttelen | Statement: [Ins, hasNeighboringMunicipality, Brüttelen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brüttelen Context triple: [Ins, hasNeighboringMunicipality, Brüttelen]
-
A.
Drüggelte
Drüggelte is a small village in North Rhine-Westphalia, Germany, known for its historic Romanesque church and rural setting near the Möhnesee reservoir.
-
B.
Opbrakel
Opbrakel is a village that forms part of the municipality of Brakel in East Flanders, Belgium.
-
C.
Schmutter
The Schmutter is a river in Bavaria, Germany, known as a regional tributary that flows through the Swabian landscape before joining the Wertach.
-
D.
Overbruch
Overbruch is a district within the Walsum borough of Duisburg in North Rhine-Westphalia, Germany.
-
E.
Knuffingen
Knuffingen is a fictional miniature city featured in Hamburg’s Miniatur Wunderland, known for its detailed urban landscape and automated model railway and traffic systems.
- 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: Brüttelen Triple: [Ins, hasNeighboringMunicipality, Brüttelen]
Generated description
Brüttelen is a small municipality in the canton of Bern in Switzerland, known for its rural character and location in the Seeland region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brüttelen Target entity description: Brüttelen is a small municipality in the canton of Bern in Switzerland, known for its rural character and location in the Seeland region.
-
A.
Drüggelte
Drüggelte is a small village in North Rhine-Westphalia, Germany, known for its historic Romanesque church and rural setting near the Möhnesee reservoir.
-
B.
Opbrakel
Opbrakel is a village that forms part of the municipality of Brakel in East Flanders, Belgium.
-
C.
Schmutter
The Schmutter is a river in Bavaria, Germany, known as a regional tributary that flows through the Swabian landscape before joining the Wertach.
-
D.
Overbruch
Overbruch is a district within the Walsum borough of Duisburg in North Rhine-Westphalia, Germany.
-
E.
Knuffingen
Knuffingen is a fictional miniature city featured in Hamburg’s Miniatur Wunderland, known for its detailed urban landscape and automated model railway and traffic systems.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d68358819095bdaab8adf1dcf0 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a733a48190b55d296573c86eaf |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f67285019c8190be831d3f72cf121f |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67323a724819092425cdb3a070b96 |
completed | May 2, 2026, 9:56 p.m. |
Created at: April 9, 2026, 5:21 p.m.