Triple
T18163532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autobahn A61 |
E434827
|
entity |
| Predicate | junctionWith |
P1018
|
FINISHED |
| Object | Autobahn A4 |
—
|
NE NERFINISHED |
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: Autobahn A4 | Statement: [Autobahn A61, junctionWith, Autobahn A4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Autobahn A4 Context triple: [Autobahn A61, junctionWith, Autobahn A4]
-
A.
Autobahn A4
chosen
Autobahn A4 is a major east–west German motorway that runs across the country, connecting the Dutch border near Aachen to the Polish border near Görlitz.
-
B.
Autobahn A40
Autobahn A40 is a major east–west motorway in western Germany that runs through the Ruhr area and is known for its heavy traffic and congestion.
-
C.
Autobahn A44
Autobahn A44 is a major German motorway in western Germany that links key cities and transport hubs, including providing direct access to Düsseldorf Airport.
-
D.
Autobahn A45
Autobahn A45 is a major German motorway running through western Germany, connecting the Ruhr area with central and southern regions and serving as an important north–south transport corridor.
-
E.
Autobahn A46
Autobahn A46 is a German federal motorway in North Rhine-Westphalia that connects several major cities in the Rhine-Ruhr metropolitan region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec419788190a999a68f32fab39b |
completed | April 19, 2026, 1:55 p.m. |
Created at: April 10, 2026, 10:30 a.m.