Triple

T13610668
Position Surface form Disambiguated ID Type / Status
Subject Article 17 of the Constitution of India E325178 entity
Predicate seeksToEliminate P74638 FINISHED
Object caste-based social exclusion 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: caste-based social exclusion | Statement: [Article 17 of the Constitution of India, seeksToEliminate, caste-based social exclusion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seeksToEliminate
Context triple: [Article 17 of the Constitution of India, seeksToEliminate, caste-based social exclusion]
  • A. aimsToEliminate chosen
    Indicates an intention or directed effort by one entity to remove, destroy, or completely get rid of another entity or condition.
  • B. claimsToEliminate
    Indicates that one entity asserts it will remove, eradicate, or put an end to another entity or condition.
  • C. seeksToAvoid
    Indicates an entity’s intention or effort to stay away from, prevent, or not experience another entity or situation.
  • D. isEliminatedPrimarilyBy
    Indicates that one entity serves as the main means or pathway by which another entity is removed, cleared, or disposed of.
  • E. designedToAvoid
    Indicates that something was intentionally created or configured in a way that prevents or minimizes a particular outcome, condition, or interaction.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbb9ee3f081909056dc1a92c40b7a completed April 12, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69dbae1b3ee481909bd43ded6227a3e5 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:50 p.m.