Triple

T11187547
Position Surface form Disambiguated ID Type / Status
Subject Deutsche Telekom E264711 entity
Predicate hasBrand P1500 FINISHED
Object T-Home E472295 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: T-Home | Statement: [Deutsche Telekom, hasBrand, T-Home]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: T-Home
Context triple: [Deutsche Telekom, hasBrand, T-Home]
  • A. Tenda
    Tenda is a historic mountain village and commune in southeastern France’s Alpes-Maritimes, near the Italian border, known for its medieval architecture and Alpine setting.
  • B. Tuya
    Tuya was an influential queen of Egypt’s 19th Dynasty, best known as the wife of Seti I and the mother of Pharaoh Ramesses II.
  • C. Tiger HAP
    Tiger HAP is a French multi-role attack helicopter variant of the Eurocopter Tiger, optimized for armed reconnaissance and close air support missions.
  • D. T-Engineering
    T-Engineering is an engineering firm known for its role in designing major infrastructure projects, including the Yavuz Sultan Selim Bridge in Turkey.
  • E. T-Com chosen
    T-Com is a telecommunications brand associated with Deutsche Telekom, known for providing mobile and fixed-line communication services and sponsoring major sports venues.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8ad143481908d5dacc95837ecfd completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483d0f4548190b97c7725a9f7c0e6 completed April 19, 2026, 7:27 a.m.
Created at: April 8, 2026, 9:29 p.m.