Triple

T20803354
Position Surface form Disambiguated ID Type / Status
Subject Accenture E512094 entity
Predicate tickerSymbol P1447 FINISHED
Object ACN NE NERFINISHED

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: ACN | Statement: [Accenture, tickerSymbol, ACN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ACN
Context triple: [Accenture, tickerSymbol, ACN]
  • A. ACN
    ACN is a former Nigerian political party that played a major role in opposition politics before merging into the All Progressives Congress (APC) in 2013.
  • B. ACN
    ACN is a fictional cable news network featured in the television series "The Newsroom."
  • C. ACN chosen
    ACN is a global professional services company specializing in direct selling of telecommunications, energy, and other essential services.
  • D. ANC
    ANC is the unified tri-service military command of India responsible for the defense and security of the Andaman and Nicobar Islands.
  • E. ANC
    ANC is the abbreviation commonly used for the Australian Navy Cadets, a youth development organization supported by the Royal Australian Navy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2b2d5688190aaa58a2594d4787c completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:39 p.m.