Triple

T478202
Position Surface form Disambiguated ID Type / Status
Subject Nokia E9106 entity
Predicate acquired P2511 FINISHED
Object Alcatel-Lucent E52311 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: Alcatel-Lucent | Statement: [Nokia, acquired, Alcatel-Lucent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alcatel-Lucent
Context triple: [Nokia, acquired, Alcatel-Lucent]
  • A. Lucent Technologies
    Lucent Technologies was a major American telecommunications equipment company, spun off from AT&T, known for its Bell Labs research arm and contributions to networking and communications technology.
  • B. Alcatel chosen
    Alcatel is a multinational telecommunications equipment and networking company known for providing infrastructure, mobile, and broadband solutions worldwide.
  • C. Ericsson
    Ericsson is a Swedish multinational telecommunications company known for providing mobile network infrastructure, services, and software to operators worldwide.
  • D. Northern Telecom
    Northern Telecom was a major Canadian telecommunications equipment manufacturer and technology company, later known as Nortel Networks, that played a significant role in global telecom infrastructure.
  • E. Telcordia Technologies
    Telcordia Technologies is a telecommunications research and development company known for creating industry standards and software solutions for network planning, management, and operations.
  • 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_69a2e7ff81708190b0507a24a997232c completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f03f3fbc81909af6e4496d5e6c2a completed Feb. 28, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4711cd9ac8190bc95a6560950525b completed March 1, 2026, 5:02 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.