Triple

T22244848
Position Surface form Disambiguated ID Type / Status
Subject FIFA country code system E549814 entity
Predicate hasExampleCode P30248 FINISHED
Object SWE 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: SWE | Statement: [FIFA country code system, hasExampleCode, SWE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SWE
Context triple: [FIFA country code system, hasExampleCode, SWE]
  • A. SWE chosen
    SWE is the three-letter ISO 3166-1 alpha-3 country code representing Sweden.
  • B. SDE
    SDE is the IATA airport code for the main airport serving Santiago del Estero in northern Argentina.
  • C. SWEAP
    SWEAP is a scientific instrument suite on NASA’s Parker Solar Probe designed to measure the solar wind’s particles and plasma properties near the Sun.
  • D. SWC
    SWC is the acronym for the South Western Command of the Indian Army, a major operational command responsible for defense and military operations in India’s western sector.
  • E. SWC
    SWC is the abbreviation for the Southwest Conference, a former NCAA Division I college athletic conference that primarily featured schools from Texas and the surrounding region.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f132170e5081909b9dbb204abf2a45 completed April 28, 2026, 10:17 p.m.
Created at: April 16, 2026, 8:38 p.m.