Triple

T321610
Position Surface form Disambiguated ID Type / Status
Subject USB Implementers Forum E6425 entity
Predicate hasMember P10 FINISHED
Object Samsung Electronics E13776 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: Samsung Electronics | Statement: [USB Implementers Forum, hasMember, Samsung Electronics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samsung Electronics
Context triple: [USB Implementers Forum, hasMember, Samsung Electronics]
  • A. Samsung chosen
    Samsung is a South Korean multinational conglomerate best known globally for its smartphones, consumer electronics, and advanced semiconductor technologies.
  • B. LG Electronics
    LG Electronics is a South Korean multinational electronics company known for producing a wide range of consumer electronics, home appliances, and mobile devices.
  • C. Nokia
    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.
  • D. LG
    LG is the post-nominal abbreviation used by members of the prestigious British chivalric Order of the Garter.
  • E. Qualcomm
    Qualcomm is a leading American semiconductor and telecommunications company best known for designing Snapdragon mobile processors and developing key wireless technologies such as 3G, 4G, and 5G.
  • 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea81a1e88190b3496070eb3d85f5 completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3cb006f348190b2e8901eb2ced9f3 completed March 1, 2026, 5:13 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.