Triple
T23304925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Südkreuz |
E590407
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Berlin city center |
—
|
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: Berlin city center | Statement: [Südkreuz, connectsTo, Berlin city center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berlin city center Context triple: [Südkreuz, connectsTo, Berlin city center]
-
A.
Berlin old town
Berlin old town is the historic core of Germany’s capital, characterized by its medieval street layout, landmark churches, and proximity to the River Spree.
-
B.
Berlin government district
chosen
The Berlin government district is the central area of Germany’s capital that houses key federal institutions, including the Bundestag in the Reichstag building and the offices of the Chancellor.
-
C.
Berlin
Berlin is a themed area in the Phantasialand amusement park that recreates the atmosphere and architecture of early 20th-century Berlin.
-
D.
Berlin
Berlin is a town in central Connecticut, United States, known as a suburban community within the Greater Hartford region.
-
E.
Berlin
Berlin is the capital and largest city of Germany, historically significant as a focal point of Cold War tensions and a major cultural, political, and economic center in Europe.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19725b248819089e61efb82e3440f |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:04 p.m.