Triple

T14265847
Position Surface form Disambiguated ID Type / Status
Subject U3 at Hallesches Tor E353641 entity
Predicate network P2637 FINISHED
Object BVG Berlin E71401 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: BVG Berlin | Statement: [U3 at Hallesches Tor, network, BVG Berlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BVG Berlin
Context triple: [U3 at Hallesches Tor, network, BVG Berlin]
  • A. Hamburger Verkehrsverbund
    Hamburger Verkehrsverbund is the integrated public transport association serving Hamburg and its surrounding metropolitan region in northern Germany.
  • B. Verkehrsverbund Berlin-Brandenburg
    Verkehrsverbund Berlin-Brandenburg is the integrated public transport authority that coordinates and manages fares and services across Berlin and the surrounding Brandenburg region.
  • C. Berlin Brandenburg Airport
    Berlin Brandenburg Airport is the main international airport serving Germany’s capital region, designed to replace and consolidate Berlin’s former commercial airports.
  • D. Berliner Verkehrsbetriebe chosen
    Berliner Verkehrsbetriebe is Berlin’s main public transport company, operating the city’s extensive network of U-Bahn trains, trams, and buses.
  • E. Berlin Südkreuz
    Berlin Südkreuz is a major railway interchange in southern Berlin that serves as a key hub for S-Bahn, regional, and long-distance train services.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6357a8188190ba518a486521052b completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326551b08190ae8fe220a6422339 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:09 a.m.