Triple

T10018273
Position Surface form Disambiguated ID Type / Status
Subject Wallsend E199550 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Howdon E625995 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: Howdon | Statement: [Wallsend, hasNeighbourhood, Howdon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howdon
Context triple: [Wallsend, hasNeighbourhood, Howdon]
  • A. Howdon chosen
    Howdon is a residential area and former industrial village in North Tyneside, England, situated on the north bank of the River Tyne near Wallsend.
  • B. Bakewell & Brown
    Bakewell & Brown was an influential early 20th-century American architectural firm known for its Beaux-Arts and classical revival designs, particularly in civic and institutional buildings.
  • C. Beekman
    Beekman is a small town in Dutchess County, New York, known for its rural character and residential communities within the Hudson Valley region.
  • D. Harston
    Harston is a village and civil parish in the South Cambridgeshire district of Cambridgeshire, England.
  • E. Makinsons
    Makinsons is a small rural community located in the Conception Bay North area of Newfoundland and Labrador, Canada.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd4de1588190a89ed575cff0b8c9 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26aa319508190b85b5a5f78603b6a completed April 5, 2026, 1:58 p.m.
Created at: March 30, 2026, 8:53 p.m.