Triple

T13742001
Position Surface form Disambiguated ID Type / Status
Subject Liverpool Royal Infirmary E330106 entity
Predicate namedAfter P63 FINISHED
Object city of 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: city of Liverpool | Statement: [Liverpool Royal Infirmary, namedAfter, city of Liverpool]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Liverpool
Context triple: [Liverpool Royal Infirmary, namedAfter, city of 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. City of Manchester
    The City of Manchester is a major metropolitan borough in North West England centered on the city of Manchester and encompassing numerous surrounding districts and suburbs.
  • E. Liverpool2
    Liverpool2 is a deep-water container terminal at the Port of Liverpool designed to handle large post-Panamax vessels and increase the port’s cargo capacity.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de0206a4b88190a60914e2b43e54f9 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6fe88348190aa9803f7d6d67023 completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 9:55 p.m.