Triple

T26326999
Position Surface form Disambiguated ID Type / Status
Subject Mall of Berlin E662277 entity
Predicate cityDistrictHistory P77469 FINISHED
Object former border area between East and West Berlin LITERAL 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: former border area between East and West Berlin | Statement: [Mall of Berlin, cityDistrictHistory, former border area between East and West Berlin]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cityDistrictHistory
Context triple: [Mall of Berlin, cityDistrictHistory, former border area between East and West Berlin]
  • A. regionHistory
    Indicates that there exists a historical or past association between a subject and a specific geographic or administrative region.
  • B. focusCityHistory
    Indicates that there is a historical or context-defining relationship between a focal city and its past events, developments, or status.
  • C. hasHistoricDistrict
    Indicates that an entity possesses or contains a designated historic district within its boundaries or domain.
  • D. architectureHistory
    Indicates a historical or developmental relationship between an entity and its architectural evolution, style, or significant architectural events over time.
  • E. associatedWithCityHistory chosen
    Indicates a relationship where something is connected or relevant to the historical events, development, or heritage of a particular city.
  • F. None of above.

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_69ee812f32748190871d970c4e2a8ddf completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60f65f9f48190ba299fb3e435e67a completed May 2, 2026, 2:51 p.m.
PD Predicate disambiguation batch_69f602d2ec748190ae95154f34c7878f completed May 2, 2026, 1:57 p.m.
Created at: April 26, 2026, 10:31 p.m.