Triple

T3807869
Position Surface form Disambiguated ID Type / Status
Subject Greater Manchester commuter belt E93052 entity
Predicate includesTown P847 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: [Greater Manchester commuter belt, includesTown, Sale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sale
Context triple: [Greater Manchester commuter belt, includesTown, 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_69aed96a60088190ab1df8390fffc935 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aee80b02888190b2d778feef14f576 completed March 9, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb30a61c819096325d7f11d22f89 completed March 14, 2026, 6:07 a.m.
Created at: March 9, 2026, 3:16 p.m.