Triple

T15723840
Position Surface form Disambiguated ID Type / Status
Subject Colégio de São Boaventura (Coimbra) E381171 entity
Predicate locatedIn P40 FINISHED
Object Alta and Sofia E374186 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: Alta and Sofia | Statement: [Colégio de São Boaventura (Coimbra), locatedIn, Alta and Sofia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alta and Sofia
Context triple: [Colégio de São Boaventura (Coimbra), locatedIn, Alta and Sofia]
  • A. Alta and Sofia chosen
    Alta and Sofia is a historic campus area of the University of Coimbra in Portugal, known for its centuries-old academic buildings and UNESCO World Heritage status.
  • B. Sofi
    Sofi is a feminine given name used in various cultures, often as a variant of "Sophie" or "Sophia."
  • C. Alva
    Alva is a small city in northwestern Oklahoma known as the county seat of Woods County and home to Northwestern Oklahoma State University.
  • D. Alva
    Alva is a small town in central Scotland situated at the foot of the Ochil Hills in Clackmannanshire.
  • E. Alva
    Alva is a small unincorporated community in Lee County, Florida, known for its historic rural character along the Caloosahatchee River.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb1fdd4819088f3e243263e5f73 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82f68bf881909e5ad8a6ab81684a completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:46 a.m.