Triple

T3223216
Position Surface form Disambiguated ID Type / Status
Subject Municipal Borough of Sale E67556 entity
Predicate hadJurisdictionOver P808 FINISHED
Object Sale 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 | Statement: [Municipal Borough of Sale, hadJurisdictionOver, Sale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sale
Context triple: [Municipal Borough of Sale, hadJurisdictionOver, Sale]
  • A. Sale chosen
    Sale is a town in Greater Manchester, England, known as a residential suburb within the Metropolitan Borough of Trafford.
  • B. Venta
    Venta is a major river in the Baltic region that flows through western Latvia and Lithuania before emptying into the Baltic Sea.
  • C. Sellin
    Sellin is a seaside resort town on the German island of Rügen, known for its historic pier and Baltic Sea beaches.
  • D. Deal
    Deal is a historic coastal town and former fishing and mining port in the county of Kent in southeast England, known for its pier, maritime heritage, and role in coastal defense.
  • E. Venda
    Venda is a Bantu language of the Venda people of South Africa and Zimbabwe, recognized as one of South Africa’s official languages.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adae196da8819086fdcf5d2b21a702 completed March 8, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b27726f76c819092a199ae07a7e688 completed March 12, 2026, 8:19 a.m.
Created at: March 8, 2026, 3:08 p.m.