Triple

T21749737
Position Surface form Disambiguated ID Type / Status
Subject Rajeev Suri E536881 entity
Predicate employer P7 FINISHED
Object Nokia 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: Nokia | Statement: [Rajeev Suri, employer, Nokia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nokia
Context triple: [Rajeev Suri, employer, Nokia]
  • A. Nokia chosen
    Nokia is a Finnish multinational telecommunications and consumer electronics company best known for its historic leadership in mobile phones and its current focus on network infrastructure and 5G technologies.
  • B. Nokia
    Nokia is a Finnish town in the Pirkanmaa region, historically known for its industrial roots and as the namesake of the multinational telecommunications company Nokia Corporation.
  • C. Ericsson
    Ericsson is a Swedish multinational telecommunications company known for providing mobile network infrastructure, services, and software to operators worldwide.
  • D. Motorola
    Motorola is an American telecommunications and semiconductor company best known for pioneering mobile phones and designing influential microprocessors like the 68000 family.
  • E. Sony Ericsson
    Sony Ericsson was a joint venture mobile phone manufacturer formed by Japan’s Sony Corporation and Sweden’s Ericsson, known for producing feature-rich and multimedia-focused handsets in the 2000s.
  • 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a78bd908190b74e26ab1cc8788f completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:50 p.m.