Triple

T18803605
Position Surface form Disambiguated ID Type / Status
Subject Bundesnetzagentur E459817 entity
Predicate shortName P43 FINISHED
Object BNetzA 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: BNetzA | Statement: [Bundesnetzagentur, shortName, BNetzA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BNetzA
Context triple: [Bundesnetzagentur, shortName, BNetzA]
  • A. BNetzA chosen
    BNetzA is Germany’s federal regulatory authority overseeing electricity, gas, telecommunications, postal services, and railway infrastructure markets.
  • B. Bundesnetzagentur
    Bundesnetzagentur is Germany’s federal regulatory authority overseeing electricity, gas, telecommunications, postal services, and railway markets.
  • C. BNNIC
    BNNIC is the official domain name registry responsible for managing and administering the .bn country-code top-level domain for Brunei.
  • D. Netze
    Netze is the German name for the Noteć, a river in north-central Poland that is a tributary of the Warta.
  • E. DB Netz AG
    DB Netz AG is a subsidiary of Deutsche Bahn responsible for operating and maintaining Germany’s national railway infrastructure network.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a0253f748190998995e3b1524357 completed April 20, 2026, 3:40 a.m.
Created at: April 10, 2026, 11:53 a.m.