Triple

T23456252
Position Surface form Disambiguated ID Type / Status
Subject Politico E567929 entity
Predicate covers P1393 FINISHED
Object the White House 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: the White House | Statement: [Politico, covers, the White House]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the White House
Context triple: [Politico, covers, the White House]
  • A. Whitehouse
    Whitehouse is a pioneering British power electronics and noise music group known for its extreme sound, confrontational themes, and foundational influence on the noise genre.
  • B. Whitehouse
    Whitehouse is a surname most notably associated with British comedian and actor Paul Whitehouse, known for his influential work in sketch comedy.
  • C. White House chosen
    The White House is the official residence and primary workplace of the president of the United States, located at 1600 Pennsylvania Avenue in Washington, D.C.
  • D. La Casa Blanca
    La Casa Blanca is a famous nickname for Real Madrid CF, highlighting the Spanish football club’s iconic all-white kit and storied prestige.
  • E. Palazzo Bianco
    Palazzo Bianco is a prominent historic palace and art museum in Genoa, Italy, renowned for its collection of European paintings from the 16th to 18th centuries.
  • 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a6980d4481909fab47cb5bd28eab completed April 29, 2026, 6:35 a.m.
Created at: April 17, 2026, 5:53 p.m.