Triple

T23025489
Position Surface form Disambiguated ID Type / Status
Subject Red Cross University College E573297 entity
Predicate affiliation P10 FINISHED
Object Swedish Red Cross NE NERFINISHED

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: Swedish Red Cross | Statement: [Red Cross University College, affiliation, Swedish Red Cross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swedish Red Cross
Context triple: [Red Cross University College, affiliation, Swedish Red Cross]
  • A. Swedish Red Cross chosen
    The Swedish Red Cross is a humanitarian organization in Sweden that provides emergency assistance, disaster relief, and health and social services as part of the International Red Cross and Red Crescent Movement.
  • B. Red Cross
    Red Cross is a small town located in Stanly County, North Carolina, United States.
  • C. Caritas Internationalis
    Caritas Internationalis is a global confederation of Catholic charitable organizations dedicated to humanitarian aid, social justice, and development work in over 200 countries and territories.
  • D. Mariahilf
    Mariahilf is a central district of Vienna, Austria, known for its bustling shopping street Mariahilfer Straße and vibrant urban atmosphere.
  • E. Skärgårdsstiftelsen
    Skärgårdsstiftelsen is a Swedish foundation dedicated to preserving, managing, and making accessible the natural and cultural environments of the Stockholm archipelago.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1847c671c8190a8095051d8c3cf93 completed April 29, 2026, 4:09 a.m.
Created at: April 17, 2026, 3:52 p.m.