Triple

T9302837
Position Surface form Disambiguated ID Type / Status
Subject GBLIV E223807 entity
Predicate refersToCity P15985 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: [GBLIV, refersToCity, Liverpool]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liverpool
Context triple: [GBLIV, refersToCity, 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_69ca8424d0f08190831e2e93c6533aeb completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08d4c5e48190aa8c744a158e5fbb completed April 1, 2026, noon
NED1 Entity disambiguation (via context triple) batch_69d0b26302608190a59f3ed0694ce6d9 completed April 4, 2026, 6:40 a.m.
Created at: March 30, 2026, 7:36 p.m.