Triple

T17606018
Position Surface form Disambiguated ID Type / Status
Subject Decree Frequens E428833 entity
Predicate hasLatinName P3646 FINISHED
Object Frequens 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: Frequens | Statement: [Decree Frequens, hasLatinName, Frequens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frequens
Context triple: [Decree Frequens, hasLatinName, Frequens]
  • A. Frequens chosen
    Frequens is a decree of the Council of Constance that mandated the regular convening of general church councils to limit papal authority and promote ecclesiastical reform.
  • B. Fazy
    Fazy is a Swiss surname most notably borne by James Fazy, a 19th-century politician from Geneva.
  • C. Funka
    Funka is a small village in northern Poland known for its scenic lakeside setting and recreational access to Lake Charzykowskie.
  • D. Feyli
    Feyli is a dialect of Southern Kurdish spoken primarily by the Feyli Kurds in parts of Iraq and Iran.
  • E. Frequencies Foundation
    Frequencies Foundation is a philanthropic and cultural initiative co-founded by Colombian artist Oscar Murillo that supports socially engaged art, education, and community-based projects worldwide.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c4c06a88190a0be2dec3d6056c4 completed April 19, 2026, 5:46 a.m.
Created at: April 10, 2026, 5:51 a.m.