Triple

T20348132
Position Surface form Disambiguated ID Type / Status
Subject Green Day singles E495927 entity
Predicate includesWork P2011 FINISHED
Object Longview 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: Longview | Statement: [Green Day singles, includesWork, Longview]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longview
Context triple: [Green Day singles, includesWork, Longview]
  • A. Longview chosen
    "Longview" is a popular punk rock song by Green Day, best known for its distinctive bass line and themes of boredom and alienation.
  • B. Longview
    Longview is a residential area within the Metropolitan Borough of Knowsley in Merseyside, England.
  • C. Longview
    Longview is a mid-sized city in northeastern Texas known as a regional hub for the oil, gas, and manufacturing industries.
  • D. Longview, Washington
    Longview, Washington is a small industrial city in southwestern Washington State along the Columbia River, known historically for its lumber and paper industries.
  • E. Perryton
    Perryton is a small city in the Texas Panhandle that serves as the commercial and community hub of Ochiltree County.
  • 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67839e7b48190876ce7133a20c65b completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.