Triple

T19082510
Position Surface form Disambiguated ID Type / Status
Subject En Sof E467065 entity
Predicate alternativeName P39 FINISHED
Object Ayn Sof 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: Ayn Sof | Statement: [En Sof, alternativeName, Ayn Sof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayn Sof
Context triple: [En Sof, alternativeName, Ayn Sof]
  • A. Ayn Sof chosen
    Ayn Sof is a Kabbalistic term for the infinite, unknowable aspect of God that precedes and transcends all creation.
  • B. Awni
    Awni is a masculine given name of Arabic origin, commonly used in the Middle East.
  • C. Nivala
    Nivala is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and agricultural surroundings.
  • D. Donya
    Donya is a feminine given name used in various cultures, sometimes as a variant of "Donna" or derived from words meaning "lady" or "world."
  • E. Hudur
    Hudur is a key urban center in southwestern Somalia that serves as an administrative and commercial hub for the surrounding region.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e2eab58c8190a987c88d633c92ec completed April 20, 2026, 8:25 a.m.
Created at: April 10, 2026, 12:04 p.m.