Triple

T1044234
Position Surface form Disambiguated ID Type / Status
Subject Shanti Van E22538 entity
Predicate hasReligiousCulturalContext P9028 FINISHED
Object secular memorial 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: secular memorial | Statement: [Shanti Van, hasReligiousCulturalContext, secular memorial]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReligiousCulturalContext
Context triple: [Shanti Van, hasReligiousCulturalContext, secular memorial]
  • A. religiousCulturalContext chosen
    Indicates the religious or cultural setting, tradition, or framework within which an entity, practice, or event occurs or is interpreted.
  • B. hasReligiousOrigin
    Indicates that something originates from, is derived from, or is fundamentally based on a religious tradition, belief system, or practice.
  • C. hasCulturalConcept
    Indicates that an entity embodies, includes, or is associated with a particular cultural idea, value, practice, or construct.
  • D. hasCulturalSignificance
    Indicates that something holds notable meaning, value, or importance within a particular culture or cultural context.
  • E. ethnicReligion
    Indicates that a religion is closely associated with a particular ethnic group, often tied to that group’s culture, ancestry, or identity.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8475ab48190848388eea6448cb6 completed March 1, 2026, 10:05 p.m.
PD Predicate disambiguation batch_69a4b72ba60881908b017ef3b2b9645e completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.