Triple

T6866600
Position Surface form Disambiguated ID Type / Status
Subject North Tyneside E158416 entity
Predicate containsSettlement P847 FINISHED
Object Backworth E509248 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: Backworth | Statement: [North Tyneside, containsSettlement, Backworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Backworth
Context triple: [North Tyneside, containsSettlement, Backworth]
  • A. Backworth chosen
    Backworth is a village in North Tyneside, England, historically associated with coal mining and now largely residential.
  • B. Wallenhorst
    Wallenhorst is a municipality in Lower Saxony, Germany, located near the city of Osnabrück.
  • C. Hennef
    Hennef is a town in North Rhine-Westphalia, Germany, situated on the river Sieg near Bonn and known for its mix of residential areas, industry, and surrounding countryside.
  • D. Duisdorf
    Duisdorf is a district of Bonn, Germany, known as a residential area with local commerce and public services within the borough of Hardtberg.
  • E. Remscheid
    Remscheid is a city in North Rhine-Westphalia, Germany, known historically for its metalworking industry and as the birthplace of physicist Wilhelm Röntgen.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8a5ef848190b6b9a11a3fbdb384 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9e05085588190ba940f2a5280a57e completed March 30, 2026, 2:30 a.m.
Created at: March 27, 2026, 2:21 p.m.