Triple
T18459991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | München-Riem airfield |
E451006
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Riem
Riem is a district in the eastern part of Munich, Germany, historically known for its former airport and now for the Messestadt Riem trade fair and residential area.
|
E1325372
|
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: Riem | Statement: [München-Riem airfield, namedAfter, Riem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riem Context triple: [München-Riem airfield, namedAfter, Riem]
-
A.
Ruit
Ruit is a locality or district that forms part of the town of Bretten in the state of Baden-Württemberg, Germany.
-
B.
Ried
Ried is a small municipality in the Bavarian district of Aichach-Friedberg in southern Germany.
-
C.
Riez
Riez is a historic village in southeastern France known for its Roman ruins and location amid the lavender fields of the Valensole Plateau.
-
D.
Rahden
Rahden is a small town in North Rhine-Westphalia, Germany, known for its rural character and traditional Westphalian heritage.
-
E.
Riemst
Riemst is a municipality in the Belgian province of Limburg, known for its rural character and location near the borders with the Netherlands and Germany.
- 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: Riem Triple: [München-Riem airfield, namedAfter, Riem]
Generated description
Riem is a district in the eastern part of Munich, Germany, historically known for its former airport and now for the Messestadt Riem trade fair and residential area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Riem Target entity description: Riem is a district in the eastern part of Munich, Germany, historically known for its former airport and now for the Messestadt Riem trade fair and residential area.
-
A.
Ruit
Ruit is a locality or district that forms part of the town of Bretten in the state of Baden-Württemberg, Germany.
-
B.
Ried
Ried is a small municipality in the Bavarian district of Aichach-Friedberg in southern Germany.
-
C.
Riez
Riez is a historic village in southeastern France known for its Roman ruins and location amid the lavender fields of the Valensole Plateau.
-
D.
Rahden
Rahden is a small town in North Rhine-Westphalia, Germany, known for its rural character and traditional Westphalian heritage.
-
E.
Riemst
Riemst is a municipality in the Belgian province of Limburg, known for its rural character and location near the borders with the Netherlands and Germany.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a7e65bc8190a824bce5b322c3de |
completed | April 19, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040febab8c819086707e68f2259fe9 |
completed | May 13, 2026, 5:45 a.m. |
| NEDg | Description generation | batch_6a0410f9ed708190bd13037037487287 |
completed | May 13, 2026, 5:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0417b159b481908f963cf8b251d898 |
completed | May 13, 2026, 6:18 a.m. |
Created at: April 10, 2026, 11:33 a.m.