Triple

T5481389
Position Surface form Disambiguated ID Type / Status
Subject Association of Radio Industries and Businesses E123473 entity
Predicate shortName P43 FINISHED
Object ARIB E23875 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: ARIB | Statement: [Association of Radio Industries and Businesses, shortName, ARIB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARIB
Context triple: [Association of Radio Industries and Businesses, shortName, ARIB]
  • A. ARIB chosen
    ARIB (Association of Radio Industries and Businesses) is a Japanese standards organization that develops and promotes technical standards for radio and telecommunications systems.
  • B. ABR
    ABR is the three-letter IATA airport code for Aberdeen Regional Airport in Aberdeen, South Dakota, USA.
  • C. AARI
    AARI is a Russian polar research institute that leads and coordinates the country’s scientific activities in the Arctic and Antarctic regions.
  • D. ARITC
    ARITC is a British Army organization responsible for overseeing recruitment and the initial training of new soldiers.
  • E. AEARU
    AEARU (Association of East Asian Research Universities) is a consortium of leading research-intensive universities in East Asia that promotes academic collaboration and exchange among its member institutions.
  • 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd924a2eb08190b759b23a6eab5e0a completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48a2880c8190ad76cf8c3862aede completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:09 p.m.