Triple

T16821436
Position Surface form Disambiguated ID Type / Status
Subject Alt-Berlin E408901 entity
Predicate adjacentTo P224 FINISHED
Object Cölln (historic town) E83946 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: Cölln (historic town) | Statement: [Alt-Berlin, adjacentTo, Cölln (historic town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cölln (historic town)
Context triple: [Alt-Berlin, adjacentTo, Cölln (historic town)]
  • A. Cölln chosen
    Cölln was a historic town on the River Spree that, together with Berlin, formed the core of what later became the city of Berlin.
  • B. Altstadt Köpenick
    Altstadt Köpenick is the historic old town district of Berlin’s Köpenick area, known for its preserved medieval street layout, traditional architecture, and riverside charm.
  • C. Oststadt
    Oststadt is a central district of Hanover, Germany, known for its urban residential areas, cultural venues, and proximity to the city’s main commercial and administrative centers.
  • D. Grevesmühlen
    Grevesmühlen is a small town in the German state of Mecklenburg-Vorpommern, known as a local administrative and service center in the north of the country.
  • E. Charlottenburg
    Charlottenburg is a historic district in western Berlin, Germany, known for its baroque Charlottenburg Palace and role as a former independent city before incorporation into Berlin.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e6b59c8190ad562a80e71ce54c completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b29a3854819099eed580eea5d84d completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.