Triple

T29335566
Position Surface form Disambiguated ID Type / Status
Subject Naam Tamilar Katchi E743896 entity
Predicate stanceOnLanguagePolicy P118086 FINISHED
Object promotion of Tamil as primary language in Tamil Nadu 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: promotion of Tamil as primary language in Tamil Nadu | Statement: [Naam Tamilar Katchi, stanceOnLanguagePolicy, promotion of Tamil as primary language in Tamil Nadu]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stanceOnLanguagePolicy
Context triple: [Naam Tamilar Katchi, stanceOnLanguagePolicy, promotion of Tamil as primary language in Tamil Nadu]
  • A. languagePolicyPosition chosen
    Indicates a stance or viewpoint an entity holds regarding rules, regulations, or practices governing language use.
  • B. languagePolicyIssue
    Indicates that there is a problem, conflict, or concern related to rules or practices governing language use.
  • C. languagePolicyAspect
    Indicates an aspect or component of a broader language policy, such as its goals, rules, or implementation measures.
  • D. languagePolicyType
    Indicates the specific category or type of language policy that governs how languages are used, managed, or regulated in a given context.
  • E. languagePolicyRole
    Indicates the role or function an entity has in defining, implementing, or influencing a language policy.
  • 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_69f09126cfcc8190899b16fbf3c2bf7b completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f66921ee2881908967afa090d0d19d completed May 2, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69f6659b62fc8190b21555d0ba54db2d completed May 2, 2026, 8:59 p.m.
Created at: April 28, 2026, 1:30 p.m.