Triple
T9935402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amel |
E192746
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Meyerode
Meyerode is a village in the municipality of Amel in the German-speaking part of eastern Belgium.
|
E837883
|
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: Meyerode | Statement: [Amel, hasSettlement, Meyerode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meyerode Context triple: [Amel, hasSettlement, Meyerode]
-
A.
Riedenburg
Riedenburg is a small Bavarian town in southern Germany known for its scenic location in the Altmühl Valley and its historic castles.
-
B.
Lankwitz
Lankwitz is a residential locality in the southwestern part of Berlin, known for its quiet neighborhoods, green spaces, and mix of historic and modern architecture.
-
C.
Oberwiesenthal
Oberwiesenthal is a German mountain town and ski resort in the Ore Mountains, known as one of the highest-altitude towns in the country and a popular destination for winter sports.
-
D.
Dornstadt
Dornstadt is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, located near the city of Ulm.
-
E.
Markranstädt
Markranstädt is a small town in the German state of Saxony, located near Leipzig and known for its local industry and proximity to the Kulkwitzer See recreation area.
- 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: Meyerode Triple: [Amel, hasSettlement, Meyerode]
Generated description
Meyerode is a village in the municipality of Amel in the German-speaking part of eastern Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meyerode Target entity description: Meyerode is a village in the municipality of Amel in the German-speaking part of eastern Belgium.
-
A.
Riedenburg
Riedenburg is a small Bavarian town in southern Germany known for its scenic location in the Altmühl Valley and its historic castles.
-
B.
Lankwitz
Lankwitz is a residential locality in the southwestern part of Berlin, known for its quiet neighborhoods, green spaces, and mix of historic and modern architecture.
-
C.
Oberwiesenthal
Oberwiesenthal is a German mountain town and ski resort in the Ore Mountains, known as one of the highest-altitude towns in the country and a popular destination for winter sports.
-
D.
Dornstadt
Dornstadt is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, located near the city of Ulm.
-
E.
Markranstädt
Markranstädt is a small town in the German state of Saxony, located near Leipzig and known for its local industry and proximity to the Kulkwitzer See recreation area.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5e263208190b6ea8b8b4e29805d |
completed | April 2, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d281d5f6188190a7e657b1bd9bc607 |
completed | April 5, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69d2860be32081909eec066c19552ba5 |
completed | April 5, 2026, 3:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2865c11c881909b6791bd2bf503c4 |
completed | April 5, 2026, 3:57 p.m. |
Created at: March 30, 2026, 8:44 p.m.