Triple

T478214
Position Surface form Disambiguated ID Type / Status
Subject Nokia E9106 entity
Predicate competitor P1375 FINISHED
Object Cisco Systems E5543 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: Cisco Systems | Statement: [Nokia, competitor, Cisco Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cisco Systems
Context triple: [Nokia, competitor, Cisco Systems]
  • A. Cisco Systems chosen
    Cisco Systems is a multinational technology conglomerate best known for designing and selling networking hardware, software, and telecommunications equipment used worldwide.
  • B. 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.
  • C. Hewlett-Packard
    Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
  • D. Arista Nashville
    Arista Nashville is a country music record label based in Nashville, Tennessee, known for signing and promoting prominent country artists.
  • E. Sun Microsystems
    Sun Microsystems was a pioneering American technology company best known for developing the Java programming language, the Solaris operating system, and high-performance networked computer systems.
  • 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_69a46c5f07808190aeafebb8e7cd7df9 completed March 1, 2026, 4:42 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.