Triple

T2520608
Position Surface form Disambiguated ID Type / Status
Subject All India Council for Technical Education E55512 entity
Predicate headquartersCountry P62 FINISHED
Object India E1124 NE 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: India | Statement: [All India Council for Technical Education, headquartersCountry, India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: India
Context triple: [All India Council for Technical Education, headquartersCountry, India]
  • A. India chosen
    India is a large South Asian country known for its vast population, cultural and linguistic diversity, and rapid economic growth.
  • B. Indi
    Indi is an Australian federal electoral division in the state of Victoria, encompassing a largely rural and regional area in the state's northeast.
  • C. Bharata
    Bharata is a virtuous prince in the Hindu epic Ramayana, renowned for his unwavering devotion to his exiled brother Rama and his refusal to usurp the throne.
  • D. Estado da Índia
    Estado da Índia was the Portuguese Empire’s colonial state in Asia, encompassing its key trading ports and territories from the early 16th century onward.
  • E. Star India
    Star India is a major Indian media and entertainment company known for its extensive portfolio of television channels and digital streaming services across multiple languages and genres.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd2367b6c819094239dfd12399643 completed March 7, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cd7deac8190af5470c900ad44c1 completed March 9, 2026, 11:50 p.m.
Created at: March 6, 2026, 9:46 p.m.