Triple
T8689692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schleißheim Palace |
E206254
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Oberschleißheim
Oberschleißheim is a municipality near Munich in Bavaria, Germany, best known for its grand baroque Schleißheim Palace complex and surrounding historic parklands.
|
E750627
|
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: Oberschleißheim | Statement: [Schleißheim Palace, locatedIn, Oberschleißheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberschleißheim Context triple: [Schleißheim Palace, locatedIn, Oberschleißheim]
-
A.
Unterföhring
Unterföhring is a municipality near Munich in Bavaria, Germany, known as a major media hub hosting several television broadcasters and related companies.
-
B.
Martinsried
Martinsried is a village near Munich, Germany, known as a major hub for life sciences and biotechnology research.
-
C.
Fürstenfeldbruck
Fürstenfeldbruck is a town in Upper Bavaria, Germany, known for its historic monastery, proximity to Munich, and nearby air base.
-
D.
Ottobrunn
Ottobrunn is a suburban municipality near Munich in Bavaria, Germany, known for its residential character and aerospace industry presence.
-
E.
Stadelhofen
Stadelhofen is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, 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: Oberschleißheim Triple: [Schleißheim Palace, locatedIn, Oberschleißheim]
Generated description
Oberschleißheim is a municipality near Munich in Bavaria, Germany, best known for its grand baroque Schleißheim Palace complex and surrounding historic parklands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oberschleißheim Target entity description: Oberschleißheim is a municipality near Munich in Bavaria, Germany, best known for its grand baroque Schleißheim Palace complex and surrounding historic parklands.
-
A.
Unterföhring
Unterföhring is a municipality near Munich in Bavaria, Germany, known as a major media hub hosting several television broadcasters and related companies.
-
B.
Martinsried
Martinsried is a village near Munich, Germany, known as a major hub for life sciences and biotechnology research.
-
C.
Fürstenfeldbruck
Fürstenfeldbruck is a town in Upper Bavaria, Germany, known for its historic monastery, proximity to Munich, and nearby air base.
-
D.
Ottobrunn
Ottobrunn is a suburban municipality near Munich in Bavaria, Germany, known for its residential character and aerospace industry presence.
-
E.
Stadelhofen
Stadelhofen is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5734602c81909a0687e00f4a4a26 |
completed | March 31, 2026, 11:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3df73b88190b67138ee5129de8b |
completed | April 2, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69cef52200788190a8173da1aaa4f681 |
completed | April 2, 2026, 11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cef6c109b08190bb29ce2747f3ccb7 |
completed | April 2, 2026, 11:07 p.m. |
Created at: March 30, 2026, 6:33 p.m.