Triple
T20459310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A10 |
E501880
|
entity |
| Predicate | forms |
P2100
|
FINISHED |
| Object | Berliner Ring |
—
|
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: Berliner Ring | Statement: [A10, forms, Berliner Ring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berliner Ring Context triple: [A10, forms, Berliner Ring]
-
A.
Berliner Ring
chosen
Berliner Ring is the colloquial name for the A10 motorway, a major orbital highway encircling the city of Berlin in Germany.
-
B.
Nuremberg Ring Road
The Nuremberg Ring Road is a major orbital traffic route encircling the city of Nuremberg, Germany, providing key access to urban districts and important sites such as the exhibition centre.
-
C.
Kölner Ring
The Kölner Ring is a heavily trafficked motorway ring encircling Cologne, Germany, known as one of the busiest and most congestion-prone highway sections in the country.
-
D.
Berlin Turnpike
The Berlin Turnpike is a major commercial and transportation corridor in central Connecticut known for its dense strip of businesses, motels, and heavy traffic.
-
E.
Berliner Allee
Berliner Allee is a major thoroughfare in Berlin that runs through the Weißensee district and serves as an important local traffic artery.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a4652c8190acf79fa2e285e436 |
completed | April 20, 2026, 9:12 p.m. |
Created at: April 16, 2026, 11:33 a.m.