Triple

T32211983
Position Surface form Disambiguated ID Type / Status
Subject Thakuri E822832 entity
Predicate legalStatusInNepal P198262 FINISHED
Object advantaged group 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: advantaged group | Statement: [Thakuri, legalStatusInNepal, advantaged group]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalStatusInNepal
Context triple: [Thakuri, legalStatusInNepal, advantaged group]
  • A. politicalStatusInNepal
    Indicates the political role, position, or standing that an entity holds within the political system or context of Nepal.
  • B. legalStatusAccordingToIndia
    Indicates the legal status or classification of an entity as defined specifically by the laws and regulations of India.
  • C. legalStatusInMyanmar
    Indicates the legal status or standing that an entity holds under the laws and regulations of Myanmar.
  • D. legalStatusInChina
    Indicates the legal status or standing that an entity holds under the laws and regulations of China.
  • E. legalStatusOfPhilippines
    Indicates the legal or political status that the Philippines holds in relation to another governing authority or international framework.
  • F. None of above. chosen

Provenance (4 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_69f3490a3bec819097bc58d4731b9d08 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fed6da0390819096b88ef4714b144e completed May 9, 2026, 6:40 a.m.
PD Predicate disambiguation batch_69fed53517d081909966f31707625f1a completed May 9, 2026, 6:33 a.m.
PDg Predicate description generation batch_69fed6d90f2081909cd21e5e973a6b89 completed May 9, 2026, 6:40 a.m.
Created at: May 1, 2026, 12:37 a.m.