Triple
T6870139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garching |
E158519
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Garching-Hochbrück |
E158519
|
NE FINISHED |
How this triple was built (2 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: Garching-Hochbrück | Statement: [Garching, hasPart, Garching-Hochbrück]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garching-Hochbrück Context triple: [Garching, hasPart, Garching-Hochbrück]
-
A.
Garching
chosen
Garching is a Bavarian town near Munich known as a major science and research hub, hosting numerous institutes and facilities including a large campus of the Technical University of Munich.
-
B.
Martinsried
Martinsried is a village near Munich, Germany, known as a major hub for life sciences and biotechnology research.
-
C.
Seibersdorf
Seibersdorf is an Austrian town known for hosting major research and testing laboratories of the International Atomic Energy Agency.
-
D.
Fürstenfeldbruck
Fürstenfeldbruck is a town in Upper Bavaria, Germany, known for its historic monastery, proximity to Munich, and nearby air base.
-
E.
Seekirchen am Wallersee
Seekirchen am Wallersee is a small Austrian town in the state of Salzburg, known for its lakeside location on the Wallersee and its role as a local administrative and residential center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8aa47f48190bc7cad3cc652f530 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742a114008190be431f1e10d94501 |
completed | March 28, 2026, 2:53 a.m. |
Created at: March 27, 2026, 2:22 p.m.