Triple

T12470374
Position Surface form Disambiguated ID Type / Status
Subject Josephine Butler E298038 entity
Predicate livedIn P75 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: [Josephine Butler, livedIn, Liverpool]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liverpool
Context triple: [Josephine Butler, livedIn, Liverpool]
  • A. 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.
  • B. 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.
  • C. Liverpool
    Liverpool is a residential neighbourhood within the city of Pickering in Ontario, Canada.
  • D. Manchester
    Manchester is a historic neighborhood on Pittsburgh’s North Side known for its 19th-century architecture and designation as a historic district.
  • E. 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.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dba7f6c8190b272f649e0777362 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f2175c48190bbd28ad8c07434f0 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.