Triple

T3721164
Position Surface form Disambiguated ID Type / Status
Subject Werderscher Markt 1, Berlin E81639 entity
Predicate hasPressCenter P51432 FINISHED
Object press and media center of the Federal Foreign Office 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: press and media center of the Federal Foreign Office | Statement: [Werderscher Markt 1, Berlin, hasPressCenter, press and media center of the Federal Foreign Office]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPressCenter
Context triple: [Werderscher Markt 1, Berlin, hasPressCenter, press and media center of the Federal Foreign Office]
  • A. hasNewsPortal
    Indicates that an entity operates, maintains, or is associated with a dedicated online news portal.
  • B. hasCentralAct
    Indicates that an entity includes or is characterized by a primary or most important action, event, or operation at its core.
  • C. hasRAndDCenterIn
    Indicates that an entity maintains a research and development (R&D) center located in a specified place.
  • D. hasServiceCenter
    Indicates that an entity maintains or is associated with a service center that provides support, repair, or maintenance services.
  • E. hasMediaOutlet
    Indicates that one entity possesses, controls, or is associated with a media outlet (such as a newspaper, TV channel, or online news platform).
  • F. None of above. chosen

Provenance (4 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_69ad8b1b7ef081908d2d381bbf54985a completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adca9d29208190bbf38a6aa88f954a completed March 8, 2026, 7:14 p.m.
PD Predicate disambiguation batch_69adc0436e508190909ec4a3e8443aef completed March 8, 2026, 6:30 p.m.
PDg Predicate description generation batch_69adc48ec1a081909af0ff9f267c0ffe completed March 8, 2026, 6:48 p.m.
Created at: March 8, 2026, 3:34 p.m.