Triple

T22248463
Position Surface form Disambiguated ID Type / Status
Subject Argentina under-23 national team E549908 entity
Predicate fifaTrigramme P6278 FINISHED
Object ARG 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: ARG | Statement: [Argentina under-23 national team, fifaTrigramme, ARG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARG
Context triple: [Argentina under-23 national team, fifaTrigramme, ARG]
  • A. ARG chosen
    ARG is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Argentina in international standards and data systems.
  • B. ARG
    ARG is the National Rail station code assigned to Arnos Grove station in London.
  • C. Arg
    Arg is the historic fortified presidential complex in central Kabul that serves as the official residence and workplace of Afghanistan’s head of state.
  • D. AG
    AG is an Indonesian vehicle registration code used for motor vehicles registered in certain regions of East Java, including Trenggalek.
  • E. AG
    AG is a common abbreviation for a German-language joint-stock company structure known as "Aktiengesellschaft."
  • 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_69f13219dc3481908dd987c4e98623e6 completed April 28, 2026, 10:18 p.m.
Created at: April 16, 2026, 8:38 p.m.