Triple

T15119664
Position Surface form Disambiguated ID Type / Status
Subject BCFC E361134 entity
Predicate nickname P55 FINISHED
Object Blues E361133 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: Blues | Statement: [BCFC, nickname, Blues]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blues
Context triple: [BCFC, nickname, Blues]
  • A. Blues
    Blues is a genre of music characterized by expressive melodies, blue notes, and themes of hardship and emotion that originated in African American communities in the Deep South of the United States.
  • B. Blues
    Blues is a professional rugby union team based in Auckland, New Zealand, that competes in the Super Rugby competition.
  • C. Blues chosen
    Blues is the common nickname for Birmingham City Football Club, an English professional football team based in Birmingham.
  • D. Blues
    The Blues were one of the major chariot-racing factions of the Byzantine Empire, known for their intense rivalry with the Greens and significant influence on the political and social life of Constantinople.
  • E. Blues
    Blues is a Finnish professional ice hockey team based in Espoo that competed in the country’s top-tier league.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0059e036c8190959ff3bde8f2356f completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfe3fe0081909d9d3a293373254b completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:06 a.m.