Triple

T14477607
Position Surface form Disambiguated ID Type / Status
Subject Cambridge E359011 entity
Predicate hasSisterCity P919 FINISHED
Object Coimbra, Portugal E12101 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: Coimbra, Portugal | Statement: [Cambridge, hasSisterCity, Coimbra, Portugal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coimbra, Portugal
Context triple: [Cambridge, hasSisterCity, Coimbra, Portugal]
  • A. Coimbra chosen
    Coimbra is a historic Portuguese city known for its medieval architecture and the University of Coimbra, one of the oldest universities in continuous operation in the world.
  • B. Setúbal, Portugal
    Setúbal, Portugal is a coastal city and municipality south of Lisbon known for its fishing industry, natural harbor, and as the hometown of football manager José Mourinho.
  • C. Vila do Conde, Portugal
    Vila do Conde is a coastal city in northern Portugal known for its historic shipbuilding heritage, beaches, and well-preserved medieval architecture.
  • D. Queluz, Portugal
    Queluz, Portugal is a historic town near Lisbon best known for its 18th-century royal palace, a former residence of the Portuguese royal family.
  • E. Cascais, Portugal
    Cascais, Portugal is a coastal resort town near Lisbon known for its beaches, marina, and historic role as a refuge for European royalty in the 20th century.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9248edb48190a74eb032aeaac027 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64a257488190818c65c1cc84c4b5 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:20 a.m.