Triple

T18377657
Position Surface form Disambiguated ID Type / Status
Subject Hungary national football team E446358 entity
Predicate fifaCode P6278 FINISHED
Object HUN 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: HUN | Statement: [Hungary national football team, fifaCode, HUN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HUN
Context triple: [Hungary national football team, fifaCode, HUN]
  • A. HUN chosen
    HUN is the three-letter International Olympic Committee country code used to represent Hungary in Olympic competitions and related events.
  • B. HUN
    HUN is the three-letter National Rail station code for Huntingdon railway station in Cambridgeshire, England.
  • C. HUN
    HUN is the IATA airport code for Hualien Airport, a civil-military airport serving Hualien in eastern Taiwan.
  • D. Huny
    Huny is an alternative transliteration of Huni, an ancient Egyptian pharaoh of the Third Dynasty.
  • E. Hun
    The Huns were a nomadic confederation of Central Asian horsemen who became infamous in late antiquity for their fierce military campaigns and invasions of Europe.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179919c881908d55ea24f93c5827 completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.