Triple
T10249522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European route E50 |
E240302
|
entity |
| Predicate | passesThroughCity |
P416
|
FINISHED |
| Object | Amberg |
E267893
|
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: Amberg | Statement: [European route E50, passesThroughCity, Amberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amberg Context triple: [European route E50, passesThroughCity, Amberg]
-
A.
Amberg
chosen
Amberg is a historic town in Bavaria, Germany, known for its well-preserved medieval old town and former role as a regional administrative and trading center.
-
B.
Amberg-Sulzbach
Amberg-Sulzbach is a rural district in the Bavarian region of Upper Palatinate in Germany, known for its mix of historic towns, forests, and former mining areas.
-
C.
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.
-
D.
Straubing
Straubing is a Bavarian town on the Danube River known for its historic city center and role as a regional economic and educational hub.
-
E.
Zwiesel
Zwiesel is a prominent mountain in the Bavarian Alps of southeastern Germany, known for its scenic hiking routes and panoramic views over the Bad Reichenhall area.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23c4cd88190b99e65a074b68d6b |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e482d55a04819090d95f7a4abb6e29 |
completed | April 19, 2026, 7:23 a.m. |
Created at: April 6, 2026, 11:28 a.m.