Triple

T3882184
Position Surface form Disambiguated ID Type / Status
Subject NOK E92848 entity
Predicate isDistinctFrom P1612 FINISHED
Object SEK E46879 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: SEK | Statement: [NOK, isDistinctFrom, SEK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SEK
Context triple: [NOK, isDistinctFrom, SEK]
  • A. SEK chosen
    SEK is the official currency code for the Swedish krona, the national currency of Sweden.
  • B. SE
    SE is the official two-letter postal abbreviation for the Brazilian state of Sergipe.
  • C. SE
    SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
  • D. SE
    SE is the standard abbreviation for a Societas Europaea, a public limited-liability company structure that allows firms to operate across European Union member states under a single legal form.
  • E. SEGU
    SEGU is the ICAO airport code for José Joaquín de Olmedo International Airport, the main air gateway serving Guayaquil, Ecuador.
  • 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_69aed9697de0819087c2559295ff3d12 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeec8d5c1c8190906294177f3ad49e completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512594fa081909ba2afad11f6ea59 completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:20 p.m.