Triple

T3184277
Position Surface form Disambiguated ID Type / Status
Subject SK postcode area E66662 entity
Predicate coversTown P847 FINISHED
Object Sale (part) E67553 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: Sale (part) | Statement: [SK postcode area, coversTown, Sale (part)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sale (part)
Context triple: [SK postcode area, coversTown, Sale (part)]
  • A. Sellin
    Sellin is a seaside resort town on the German island of Rügen, known for its historic pier and Baltic Sea beaches.
  • B. Sale chosen
    Sale is a town in Greater Manchester, England, known as a residential suburb within the Metropolitan Borough of Trafford.
  • C. Selloi
    The Selloi were the ancient priests associated with the oracle of Zeus at Dodona in Epirus, known from Homeric tradition.
  • D. Venda
    Venda is a Bantu language of the Venda people of South Africa and Zimbabwe, recognized as one of South Africa’s official languages.
  • E. Venda people
    The Venda people are a Bantu ethnic group primarily inhabiting northern South Africa, known for their rich cultural traditions, distinctive language, and vibrant artistic and musical heritage.
  • 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_69ad8587c1bc8190a2595f2c22ee1001 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6bfc4248190af320471688c60f0 completed March 8, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b236039b148190ab581709cfcfcd01 completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.