Triple

T11864910
Position Surface form Disambiguated ID Type / Status
Subject Warm Home Discount E282255 entity
Predicate relatedTo P37 FINISHED
Object Cold Weather Payment E58661 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: Cold Weather Payment | Statement: [Warm Home Discount, relatedTo, Cold Weather Payment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cold Weather Payment
Context triple: [Warm Home Discount, relatedTo, Cold Weather Payment]
  • A. Cold Weather Payment chosen
    Cold Weather Payment is a UK welfare benefit that provides extra financial support to eligible people on certain benefits during periods of very cold weather.
  • B. Winter Fuel Payment
    Winter Fuel Payment is a UK government benefit that provides annual tax-free payments to help older people with their heating costs during the winter.
  • C. Wind Chill
    Wind Chill is a 2007 supernatural horror film about two college students stranded on a haunted, snowbound road trip.
  • D. Cold Winter
    Cold Winter is a first-person shooter video game known for its espionage-driven storyline, realistic weapon mechanics, and mature themes, released for the PlayStation 2.
  • E. Chilly
    Chilly is a stuffed snowman character from the children's animated series "Doc McStuffins," known for being a lovable but often overly worried patient in Doc's toy clinic.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a73883508190a78b5f4ba4a220df completed April 10, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43fc3f6688190aec5c0b481cfc77f completed May 1, 2026, 5:53 a.m.
Created at: April 8, 2026, 9:43 p.m.