Triple

T24991140
Position Surface form Disambiguated ID Type / Status
Subject Kinnauri culture E625450 entity
Predicate hasMarriagePractice P11275 FINISHED
Object polyandry 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: polyandry | Statement: [Kinnauri culture, hasMarriagePractice, polyandry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMarriagePractice
Context triple: [Kinnauri culture, hasMarriagePractice, polyandry]
  • A. hasMarriage
    Indicates a marital relationship exists between the two entities, specifying that they are or were legally married to each other.
  • B. marriagePattern chosen
    Indicates the typical form or structure of a marriage relationship, such as how partners are selected, organized, or related within a social or cultural system.
  • C. regardsMarriageAs
    Indicates that one entity holds a particular view, attitude, or evaluative stance toward the institution or concept of marriage.
  • D. marriageType
    Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
  • E. hasShamMarriageWith
    Indicates that two individuals are involved in a marriage that is not genuine, typically entered into for ulterior motives such as legal or financial benefits rather than a bona fide marital relationship.
  • 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_69e2ff2611c081908710457fbe6d376b completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f674e06c9481909ed0ea736408f0d7 completed May 2, 2026, 10:04 p.m.
PD Predicate disambiguation batch_69f673c2f81c8190bf369226306eef09 completed May 2, 2026, 9:59 p.m.
Created at: April 18, 2026, 6:03 a.m.