Triple

T27646361
Position Surface form Disambiguated ID Type / Status
Subject Annamalaiyar E696721 entity
Predicate hasCountryOfCult P27585 FINISHED
Object India 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: India | Statement: [Annamalaiyar, hasCountryOfCult, India]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCountryOfCult
Context triple: [Annamalaiyar, hasCountryOfCult, India]
  • A. countryOfCult chosen
    Indicates that a particular cult, religious group, or worship practice is associated with, originates from, or is primarily practiced in a specific country.
  • B. hasCulturalPresenceOf
    Indicates that something exhibits, contains, or is characterized by the cultural influence, activities, or representation of a particular group, tradition, or culture.
  • C. countryOfCulturalSignificance
    Indicates that a country holds notable cultural importance or influence for a given entity, such as a person, group, object, or practice.
  • D. hasLocalCult
    Indicates that an entity is associated with a cult or worship practice that is specific to a particular locality or region.
  • E. hasCulturalFocusOn
    Indicates that an entity is primarily concerned with, oriented toward, or thematically centered on a particular culture or cultural aspect.
  • 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_69ef590abd3c8190834d0193bde12007 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69ff2636e2bc8190bba91eff91431c6e completed May 9, 2026, 12:19 p.m.
PD Predicate disambiguation batch_69ff25c65be48190868480d94e1c4e89 completed May 9, 2026, 12:17 p.m.
Created at: April 27, 2026, 2:29 p.m.