Triple

T5797155
Position Surface form Disambiguated ID Type / Status
Subject Odinani E128534 entity
Predicate worldviewFeature P19063 FINISHED
Object balance between visible and invisible worlds LITERAL 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: balance between visible and invisible worlds | Statement: [Odinani, worldviewFeature, balance between visible and invisible worlds]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: worldviewFeature
Context triple: [Odinani, worldviewFeature, balance between visible and invisible worlds]
  • A. worldview chosen
    Indicates the overarching perspective or framework through which an entity interprets and understands the world and its experiences.
  • B. featureOfInterest
    Indicates the entity or object that is the primary subject or focus of the described observation, measurement, or analysis.
  • C. worldStyle
    Indicates the stylistic or aesthetic manner in which a world, setting, or environment is presented or designed.
  • D. politicalFeature
    Indicates that an entity possesses a political characteristic, attribute, or aspect relevant to governance, power structures, or public policy.
  • E. iconicFeature
    Indicates that something serves as a distinctive, widely recognized characteristic or symbol of another entity.
  • F. None of above.

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_69c00845ca68819081a2ce3ecca577f7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b1304588190b59a18fb7b70a60f completed March 22, 2026, 5:46 p.m.
PD Predicate disambiguation batch_69c021d477008190946113f9859eeb90 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:51 p.m.