Triple

T10208977
Position Surface form Disambiguated ID Type / Status
Subject SIE E242277 entity
Predicate exchangeSegment P58923 FINISHED
Object Prime Standard E549681 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: Prime Standard | Statement: [SIE, exchangeSegment, Prime Standard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prime Standard
Context triple: [SIE, exchangeSegment, Prime Standard]
  • A. Prime Standard chosen
    Prime Standard is a premium segment of the Frankfurt Stock Exchange that imposes stricter transparency and reporting requirements on listed companies than the general market.
  • B. Gold Point
    Gold Point is a historic Nevada mining ghost town known for its preserved old buildings and Wild West heritage.
  • C. Standard of the World
    "Standard of the World" was a historic Cadillac advertising slogan that positioned the brand as the benchmark for luxury and automotive excellence.
  • D. Standard-Triumph
    Standard-Triumph was a British car manufacturer best known for producing Triumph sports cars such as the TR series and Spitfire during the mid-20th century.
  • E. Prye
    Prye is an alternative transliteration of Pyay, a historic city in central Myanmar located on the Irrawaddy River.
  • 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_69d395fa86cc8190b4f115b5a0f99772 completed April 6, 2026, 11:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d652cca9c081909f705365c70db009 completed April 8, 2026, 1:06 p.m.
Created at: April 6, 2026, 10:59 a.m.