Triple
T20459352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berliner Ring |
E501881
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object | A11 |
—
|
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: A11 | Statement: [Berliner Ring, hasJunctionWith, A11]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A11 Context triple: [Berliner Ring, hasJunctionWith, A11]
-
A.
A11
chosen
A11 is a French motorway that connects with the A10 and serves as a major route linking the Paris region to western France.
-
B.
A12
The A12 is a major road in England that connects London with East Anglia, serving key towns and cities including Ipswich and Colchester.
-
C.
A12
A12 is a major Swiss motorway that connects the regions of Bern and Fribourg, serving as an important north–south transit corridor.
-
D.
A12
A12 is a major French motorway that forms part of the national autoroute network, connecting the outskirts of Paris with the western regions.
-
E.
A15
A15 is a major French motorway forming part of the country's national autoroute network.
- 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.