Triple

T15294968
Position Surface form Disambiguated ID Type / Status
Subject Garston and Halewood (UK Parliament constituency) E365630 entity
Predicate contains P35 FINISHED
Object Speke E978959 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: Speke | Statement: [Garston and Halewood (UK Parliament constituency), contains, Speke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Speke
Context triple: [Garston and Halewood (UK Parliament constituency), contains, Speke]
  • A. Speke chosen
    Speke is a suburb of Liverpool in Merseyside, England, known for its industrial estates, proximity to Liverpool John Lennon Airport, and post-war housing developments.
  • B. Speke
    Speke is the surname of John Hanning Speke, the 19th-century British explorer best known for identifying Lake Victoria as a primary source of the Nile.
  • C. Apswa
    Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
  • D. Karonga
    Karonga is a town in northern Malawi located on the shores of Lake Malawi, known as a regional transport hub and archaeological site.
  • E. Nansana
    Nansana is a rapidly growing urban municipality in Uganda that forms part of the Greater Kampala metropolitan area.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e036848c1881908fbaaae0216d6d27 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef81058c8190aec7c7ad9a68f569 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.