Triple

T13703807
Position Surface form Disambiguated ID Type / Status
Subject School of Engineering, University of Liverpool E328584 entity
Predicate city P40 FINISHED
Object Liverpool 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 | Statement: [School of Engineering, University of Liverpool, city, Liverpool]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liverpool
Context triple: [School of Engineering, University of Liverpool, city, Liverpool]
  • A. 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.
  • 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. Manchester
    Manchester is a major city in northwest England known for its industrial heritage, vibrant cultural scene, and influential contributions to music, sport, and science.
  • E. Manchester
    Manchester is a historic neighborhood on Pittsburgh’s North Side known for its 19th-century architecture and designation as a historic district.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad162158819089280ee1e6b5c2cf completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d4c52fc8190a93d05c24a8d1513 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:54 p.m.