Triple

T2289225
Position Surface form Disambiguated ID Type / Status
Subject Hurt E51463 entity
Predicate countryChartSuccess P6123 FINISHED
Object European Hot 100 E210369 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: European Hot 100 | Statement: [Hurt, countryChartSuccess, European Hot 100]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: European Hot 100
Context triple: [Hurt, countryChartSuccess, European Hot 100]
  • A. European Hot 100 chosen
    The European Hot 100 was a pan-European music singles chart that ranked the most popular songs across numerous European countries.
  • B. Europop
    Europop is a catchy, melody-driven style of European popular music that blends danceable rhythms with polished pop production and often features synthesizers and simple, sing-along hooks.
  • C. Canadian Hot 100
    The Canadian Hot 100 is Billboard's official weekly singles chart for Canada, ranking the most popular songs in the country based on sales, radio airplay, and streaming data.
  • D. Irish Singles Chart
    The Irish Singles Chart is Ireland’s official weekly ranking of the most popular singles based on sales and streaming data.
  • E. Canada’s Top Ten
    Canada’s Top Ten is an annual program that showcases the year’s best Canadian films, curated and presented by the Toronto International Film Festival.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5b3d4988190bceb3dffa9734f4b completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f1e84ac819096cb62ce5e94d865 completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:48 p.m.