Triple

T4193937
Position Surface form Disambiguated ID Type / Status
Subject Jakob Böhme E89098 entity
Predicate centralConcept P533 FINISHED
Object Sophia (divine wisdom) E163137 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: Sophia (divine wisdom) | Statement: [Jakob Böhme, centralConcept, Sophia (divine wisdom)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sophia (divine wisdom)
Context triple: [Jakob Böhme, centralConcept, Sophia (divine wisdom)]
  • A. Holy Wisdom chosen
    Holy Wisdom is a theological concept in Eastern Christianity personifying divine, transcendent wisdom often associated with Christ and venerated in major churches such as Hagia Sophia.
  • B. Truth and Wisdom (Veritas et Sapientia)
    Truth and Wisdom (Veritas et Sapientia) is the Latin motto expressing the core values of the University of South Florida, emphasizing the pursuit of knowledge and understanding.
  • C. Minerva
    Minerva is a supporting character in the 1997 Rodgers & Hammerstein television adaptation of Cinderella, appearing as one of the comedic stepsisters.
  • D. Sagesse
    Sagesse is a collection of deeply spiritual and introspective poems by Paul Verlaine, reflecting his religious crisis and search for inner peace.
  • E. Sophia
    Sophia is a small town located in Raleigh County in the southern part of West Virginia, United States.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af034406348190a56c21b5c08a6828 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a0b02208190af3a55d38a7a2459 completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:46 p.m.