Triple

T13592124
Position Surface form Disambiguated ID Type / Status
Subject Directorate General of Civil Aviation E324717 entity
Predicate jurisdiction P82 FINISHED
Object Republic of India E138303 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: Republic of India | Statement: [Directorate General of Civil Aviation, jurisdiction, Republic of India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Republic of India
Context triple: [Directorate General of Civil Aviation, jurisdiction, Republic of India]
  • A. Indya
    Indya is the given name of Indya Moore, an American actor and model best known for their role on the television series "Pose."
  • B. India
    India is a large South Asian country known for its vast population, cultural and linguistic diversity, and rapid economic growth.
  • C. India
    "India" is a popular song by American rapper Lil Durk, known for its melodic style and romantic themes.
  • D. Union of India chosen
    The Union of India is the sovereign federal nation comprising the Republic of India’s central government and all its states and union territories under a single constitutional framework.
  • E. 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.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb056ce088190a6feb4266633d18b completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76ba835f08190bdc21de864e0fcc8 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:49 p.m.