Triple
T16919801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudow |
E410414
|
entity |
| Predicate | roadAccess |
P385
|
FINISHED |
| Object | Bundesstraße 96a |
E318592
|
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: Bundesstraße 96a | Statement: [Rudow, roadAccess, Bundesstraße 96a]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bundesstraße 96a Context triple: [Rudow, roadAccess, Bundesstraße 96a]
-
A.
Bundesstraße 96
chosen
Bundesstraße 96 is a major German federal highway running in a north–south direction, notably connecting Berlin with the Baltic Sea island of Rügen.
-
B.
Bundesstraße 9
Bundesstraße 9 is a major German federal highway running along the western part of the country, connecting numerous cities and towns near the Rhine.
-
C.
Bundesstraße 64
Bundesstraße 64 is a German federal highway that runs east–west through parts of Lower Saxony and North Rhine-Westphalia, connecting several regional towns and cities.
-
D.
Bundesstraße 91
Bundesstraße 91 is a German federal highway in the state of Saxony-Anhalt that connects the town of Weißenfels with other regional centers.
-
E.
Bundesstraße 85
Bundesstraße 85 is a major federal highway in Germany that runs through eastern and central regions, connecting numerous towns and cities across the country.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cded2f8481909a20cc08b47e922e |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ecafd908190b8a1513138a29303 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:30 a.m.