Triple
T4163176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U3 |
E91577
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Wöhrder Wiese
Wöhrder Wiese is a green riverside park area in Nuremberg, Germany, known for recreation and events near the city center.
|
E416699
|
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: Wöhrder Wiese | Statement: [U3, hasStation, Wöhrder Wiese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wöhrder Wiese Context triple: [U3, hasStation, Wöhrder Wiese]
-
A.
Ueffelner Aue
Ueffelner Aue is a small river in Lower Saxony, Germany, that flows through rural landscapes before joining the Hase.
-
B.
Wiesen
Wiesen is a small locality that forms one of the subdivisions of the town of Lichtenfels in Germany.
-
C.
Wiesengrund
Wiesengrund is the original family name of the German philosopher, sociologist, and critical theorist Theodor W. Adorno.
-
D.
Trassenheide
Trassenheide is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and tourism.
-
E.
Hofwiesenpark
Hofwiesenpark is a large riverside public park in the city of Gera, Germany, known for its recreational facilities, green spaces, and role as a venue for local events and festivals.
- 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: Wöhrder Wiese Triple: [U3, hasStation, Wöhrder Wiese]
Generated description
Wöhrder Wiese is a green riverside park area in Nuremberg, Germany, known for recreation and events near the city center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wöhrder Wiese Target entity description: Wöhrder Wiese is a green riverside park area in Nuremberg, Germany, known for recreation and events near the city center.
-
A.
Ueffelner Aue
Ueffelner Aue is a small river in Lower Saxony, Germany, that flows through rural landscapes before joining the Hase.
-
B.
Wiesen
Wiesen is a small locality that forms one of the subdivisions of the town of Lichtenfels in Germany.
-
C.
Wiesengrund
Wiesengrund is the original family name of the German philosopher, sociologist, and critical theorist Theodor W. Adorno.
-
D.
Trassenheide
Trassenheide is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and tourism.
-
E.
Hofwiesenpark
Hofwiesenpark is a large riverside public park in the city of Gera, Germany, known for its recreational facilities, green spaces, and role as a venue for local events and festivals.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02a9bf348190b99cecd19fe65779 |
completed | March 9, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f456bf88190b9b8678476ac3803 |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b57fe89ed0819089d7e56568755b1c |
completed | March 14, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5805cb7e88190b2f6ed6a18de9319 |
completed | March 14, 2026, 3:35 p.m. |
Created at: March 9, 2026, 3:44 p.m.