Triple
T13433940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayerisch Eisenstein |
E320180
|
entity |
| Predicate | hasRailConnectionTo |
P848
|
FINISHED |
| Object | Zwiesel |
E871095
|
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: Zwiesel | Statement: [Bayerisch Eisenstein, hasRailConnectionTo, Zwiesel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zwiesel Context triple: [Bayerisch Eisenstein, hasRailConnectionTo, Zwiesel]
-
A.
Zwiesel
chosen
Zwiesel is a small Bavarian town in southeastern Germany known for its glassmaking tradition and its location on the edge of the Bavarian Forest.
-
B.
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.
-
C.
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.
-
D.
Donauwörth
Donauwörth is a historic Bavarian town in southern Germany situated at the confluence of the Danube and Lech rivers.
-
E.
Wörth
Wörth is the historical name of Roseninsel, a small, culturally significant island in Lake Starnberg in Bavaria, Germany.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee29fec81908b07b4fca2922242 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7ca3e348190a75c1dd8aec73a40 |
completed | May 9, 2026, 4:27 a.m. |
Created at: April 9, 2026, 9:40 p.m.