Triple

T4520167
Position Surface form Disambiguated ID Type / Status
Subject Hamsa E103245 entity
Predicate symbolicMeaningOfAbility P129 FINISHED
Object discerning essence from non-essence 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: discerning essence from non-essence | Statement: [Hamsa, symbolicMeaningOfAbility, discerning essence from non-essence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: symbolicMeaningOfAbility
Context triple: [Hamsa, symbolicMeaningOfAbility, discerning essence from non-essence]
  • A. hasParticularSignificanceFor
    Indicates that something holds a special, notable, or contextually important relevance or impact for a particular entity or situation.
  • B. speciesAbility
    Indicates that a particular species possesses a specific ability or characteristic capacity.
  • C. associatedNightMeaning
    Indicates a relationship where something is linked to, characterized by, or symbolically connected with a particular meaning that is specifically tied to the night.
  • D. symbolDescription
    Indicates that a symbol is associated with or defined by a particular descriptive explanation or meaning.
  • E. symbolizes chosen
    Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5747e90c81908fa112ecace699a9 completed March 20, 2026, 2:18 p.m.
PD Predicate disambiguation batch_69bd521abea48190b3e758a1f98dd55e completed March 20, 2026, 1:56 p.m.
Created at: March 20, 2026, 1:02 p.m.