Triple

T22244841
Position Surface form Disambiguated ID Type / Status
Subject FIFA country code system E549814 entity
Predicate hasExampleCode P30248 FINISHED
Object NED 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: NED | Statement: [FIFA country code system, hasExampleCode, NED]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NED
Context triple: [FIFA country code system, hasExampleCode, NED]
  • A. NED chosen
    NED is the official FIFA country code used to represent the Netherlands national football team in international competitions and records.
  • B. NED
    NED is the abbreviated title historically used for the early editions of what later became known as the Oxford English Dictionary.
  • C. NED
    NED is the commonly used abbreviation for the Nuclear Engineering Division, a specialized unit focused on research, development, and applications of nuclear science and engineering.
  • D. NED
    NED is a U.S.-based nonprofit foundation that supports and promotes democratic institutions, human rights, and civil society around the world, primarily through grants and advocacy.
  • E. NED
    NED is the Indian Railways station code for Nanded railway station in Maharashtra, India.
  • 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.