Triple

T10214877
Position Surface form Disambiguated ID Type / Status
Subject Matsushita Electric Industrial Co. E242414 entity
Predicate brand P1500 FINISHED
Object National E409731 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: National | Statement: [Matsushita Electric Industrial Co., brand, National]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: National
Context triple: [Matsushita Electric Industrial Co., brand, National]
  • A. National
    National is a major centre-right political party in New Zealand, formally known as the New Zealand National Party.
  • B. National chosen
    National is a Japanese electronics and home appliance brand historically used by Panasonic for a wide range of consumer products, especially in Asian markets.
  • C. Nacional
    Nacional is a news section of the Colombian newspaper El Espectador that focuses on national-level events and issues.
  • D. Nacional
    Nacional is a prominent Uruguayan football club based in Montevideo, known as one of the country's most successful and historic teams.
  • E. Nacional
    Nacional is a character in the 1922 silent drama film "Blood and Sand," which centers on the rise and fall of a celebrated Spanish bullfighter.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa273bdc8190bc4cf67a7923cebc completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d652ea80dc81908bc65ee2ec390467 completed April 8, 2026, 1:06 p.m.
Created at: April 6, 2026, 11:04 a.m.