Triple

T2646240
Position Surface form Disambiguated ID Type / Status
Subject D.C. United E53790 entity
Predicate nickname P55 FINISHED
Object Black-and-Red E53789 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: Black-and-Red | Statement: [D.C. United, nickname, Black-and-Red]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black-and-Red
Context triple: [D.C. United, nickname, Black-and-Red]
  • A. Black-and-Red chosen
    Black-and-Red is the widely used nickname for Major League Soccer club D.C. United, referencing the team’s traditional colors and identity.
  • B. Blau
    The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
  • C. Karmir Blur
    Karmir Blur is an important archaeological site in Armenia containing the remains of an ancient Urartian fortress and settlement.
  • D. La Bicolor
    La Bicolor is the popular nickname of the Guatemala national football team, referring to its traditional two-colored kit.
  • E. Yellow‑Red‑Blue
    Yellow‑Red‑Blue is a 1925 abstract painting by Wassily Kandinsky that exemplifies his use of geometric forms and bold primary colors to explore the emotional and spiritual effects of color and composition.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd91846b4819093a063c15e1ee6af completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98c721b08190b380d3625126cb55 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.