Triple

T18804075
Position Surface form Disambiguated ID Type / Status
Subject Eschborn E459827 entity
Predicate hostsOfficeOf P1268 FINISHED
Object Deutsche Telekom (offices) 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: Deutsche Telekom (offices) | Statement: [Eschborn, hostsOfficeOf, Deutsche Telekom (offices)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deutsche Telekom (offices)
Context triple: [Eschborn, hostsOfficeOf, Deutsche Telekom (offices)]
  • A. Deutsche Telekom chosen
    Deutsche Telekom is a major German telecommunications company and one of the largest telecom providers in Europe, offering mobile, fixed-line, and internet services worldwide.
  • B. Telefónica Deutschland Holding AG
    Telefónica Deutschland Holding AG is a major German telecommunications provider best known for operating the O2 brand and offering mobile and fixed-line services across Germany.
  • C. T-Systems
    T-Systems is a German IT services and consulting company, part of Deutsche Telekom, specializing in digital transformation, cloud, and telecommunications solutions for large enterprises and public-sector clients.
  • D. DB Netz AG
    DB Netz AG is a subsidiary of Deutsche Bahn responsible for operating and maintaining Germany’s national railway infrastructure network.
  • E. Amdocs (offices)
    Amdocs is a multinational software and services company specializing in communications, media, and financial services technology solutions.
  • 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_69e5a025faf48190be07086071df5b34 completed April 20, 2026, 3:40 a.m.
Created at: April 10, 2026, 11:53 a.m.