Triple

T6130488
Position Surface form Disambiguated ID Type / Status
Subject A57 road E136703 entity
Predicate hasTerminus P388 FINISHED
Object Liverpool city centre E15386 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: Liverpool city centre | Statement: [A57 road, hasTerminus, Liverpool city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liverpool city centre
Context triple: [A57 road, hasTerminus, Liverpool city centre]
  • A. Manchester city centre
    Manchester city centre is the main commercial, retail, and cultural hub of Manchester, England, known for its shopping districts, nightlife, and historic architecture.
  • B. Liverpool chosen
    Liverpool is a major port city in northwest England known for its maritime heritage, cultural influence, and role as the birthplace of The Beatles.
  • C. Liverpool
    Liverpool is a residential neighbourhood within the city of Pickering in Ontario, Canada.
  • D. Liverpool
    Liverpool is a major suburb and commercial centre in the south-west of Sydney, Australia, known as a key residential, retail, and transport hub in the metropolitan area.
  • E. Liverpool Urban Area
    The Liverpool Urban Area is a major metropolitan region in and around the city of Liverpool, encompassing its contiguous built-up districts and suburbs.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c4de9c48190b98f67a6251ec1df completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135d080808190938e3a1095080850 completed March 23, 2026, 12:45 p.m.
Created at: March 22, 2026, 4:15 p.m.