Triple

T12410489
Position Surface form Disambiguated ID Type / Status
Subject Azubuike Oliseh E296500 entity
Predicate playedForClub P2168 FINISHED
Object RFC Liège E294480 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: RFC Liège | Statement: [Azubuike Oliseh, playedForClub, RFC Liège]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RFC Liège
Context triple: [Azubuike Oliseh, playedForClub, RFC Liège]
  • A. RFC Liège chosen
    RFC Liège is a historic Belgian football club based in Liège, known as one of the country’s oldest and most traditional teams.
  • B. RFC
    RFC is the commonly used abbreviation for Reading Football Club, a professional English football team based in Reading, Berkshire.
  • C. RFC
    RFC is the common abbreviation for the Richmond Football Club, a professional Australian rules football team based in Melbourne that competes in the Australian Football League (AFL).
  • D. RFC
    RFC is the common abbreviation for Rangers Football Club, a professional football team based in Glasgow, Scotland.
  • E. RFC 1642
    RFC 1642 is an Internet standards document that defines the UTF-7 encoding for representing Unicode characters in environments restricted to 7-bit data.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d4b86c88190afba0de15b34eee9 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b962d1c81909c2119890d921648 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:55 p.m.