Triple
T6316755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolbermoor |
E141634
|
entity |
| Predicate | hasRailConnectionTo |
P848
|
FINISHED |
| Object |
Holzkirchen
Holzkirchen is a market town in Upper Bavaria, Germany, known as a regional transport hub on the railway line between Munich and the Alpine foothills.
|
E680553
|
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: Holzkirchen | Statement: [Kolbermoor, hasRailConnectionTo, Holzkirchen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holzkirchen Context triple: [Kolbermoor, hasRailConnectionTo, Holzkirchen]
-
A.
Forchheim
Forchheim is a town in Upper Franconia, Bavaria, Germany, known for its historic old town and location along major regional rail and road routes.
-
B.
Gauting
Gauting is a municipality in the district of Starnberg in Bavaria, Germany, known for its residential character and proximity to Munich.
-
C.
Erding
Erding is a Bavarian town northeast of Munich, best known for its historic center, Erdinger Weißbräu brewery, and large thermal spa complex.
-
D.
Deggendorf
Deggendorf is a town in southeastern Germany situated on the Danube River, known as a regional commercial and transportation hub near the Bavarian Forest.
-
E.
Fürstenfeldbruck
Fürstenfeldbruck is a town in Upper Bavaria, Germany, known for its historic monastery, proximity to Munich, and nearby air base.
- 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: Holzkirchen Triple: [Kolbermoor, hasRailConnectionTo, Holzkirchen]
Generated description
Holzkirchen is a market town in Upper Bavaria, Germany, known as a regional transport hub on the railway line between Munich and the Alpine foothills.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Holzkirchen Target entity description: Holzkirchen is a market town in Upper Bavaria, Germany, known as a regional transport hub on the railway line between Munich and the Alpine foothills.
-
A.
Forchheim
Forchheim is a town in Upper Franconia, Bavaria, Germany, known for its historic old town and location along major regional rail and road routes.
-
B.
Gauting
Gauting is a municipality in the district of Starnberg in Bavaria, Germany, known for its residential character and proximity to Munich.
-
C.
Erding
Erding is a Bavarian town northeast of Munich, best known for its historic center, Erdinger Weißbräu brewery, and large thermal spa complex.
-
D.
Deggendorf
Deggendorf is a town in southeastern Germany situated on the Danube River, known as a regional commercial and transportation hub near the Bavarian Forest.
-
E.
Fürstenfeldbruck
Fürstenfeldbruck is a town in Upper Bavaria, Germany, known for its historic monastery, proximity to Munich, and nearby air base.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c25530819080b29e0029175c00 |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a1f26d948190b887c4ccc19548cc |
completed | March 29, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_69c8a295f4108190ac84575f8fe4b3dc |
completed | March 29, 2026, 3:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a2fe5e4c8190b522820fcc5ece93 |
completed | March 29, 2026, 3:56 a.m. |
Created at: March 22, 2026, 4:29 p.m.