Triple

T1622688
Position Surface form Disambiguated ID Type / Status
Subject Mumbai City FC E35067 entity
Predicate countryLeague P3509 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: [Mumbai City FC, countryLeague, India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: India
Context triple: [Mumbai City FC, countryLeague, 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. 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.
  • E. Pakistan
    Pakistan is a South Asian country bordering India, Afghanistan, Iran, and China, known for its diverse cultures, strategic geopolitical position, and significant agricultural and nuclear capabilities.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909cf3c7481909ddbe6a6596bb0c8 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad797907ac81908ede43626798827d completed March 8, 2026, 1:28 p.m.
Created at: March 4, 2026, 7:28 p.m.