Triple

T23669157
Position Surface form Disambiguated ID Type / Status
Subject Varanasi South E584677 entity
Predicate currentCountryGovernment P16961 FINISHED
Object Government of India NE NERFINISHED

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: Government of India | Statement: [Varanasi South, currentCountryGovernment, Government of India]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: currentCountryGovernment
Context triple: [Varanasi South, currentCountryGovernment, Government of India]
  • A. targetCountryGovernment
    Indicates that a government is the primary focus or object of an action, policy, or relationship directed toward a specific country.
  • B. countryGovernment
    Indicates the type or form of government that exercises authority over a given country.
  • C. governmentInPower chosen
    Indicates that a particular government currently holds official authority and is exercising ruling power over a state or region.
  • D. countryGoverningBody
    Indicates that a particular governing body holds official authority over and administers a specific country.
  • E. countryPresiding
    Indicates that one country holds the official position of presiding over, chairing, or leading another country or an international body on a formal, typically temporary, basis.
  • 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_69e24901421881908c17a5293bdd4a8e completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b40dc0ec8190b558e30dbebf491f completed April 29, 2026, 7:32 a.m.
PD Predicate disambiguation batch_69f118dd13008190a8799b4e9cadbd79 completed April 28, 2026, 8:30 p.m.
Created at: April 17, 2026, 6:50 p.m.