Triple

T13344262
Position Surface form Disambiguated ID Type / Status
Subject Indian 2nd Infantry Division E317907 entity
Predicate garrisonCountry P846 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: [Indian 2nd Infantry Division, garrisonCountry, India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: India
Context triple: [Indian 2nd Infantry Division, garrisonCountry, India]
  • A. India
    "India" is a popular song by American rapper Lil Durk, known for its melodic style and romantic themes.
  • B. India chosen
    India is a large South Asian country known for its vast population, cultural and linguistic diversity, and rapid economic growth.
  • C. Bharata (India)
    Bharata (India) is the traditional Sanskrit name for the Indian subcontinent and the Republic of India, rooted in ancient Hindu texts and cultural heritage.
  • D. Indya
    Indya is the given name of Indya Moore, an American actor and model best known for their role on the television series "Pose."
  • E. Indies
    The Indies is a historical term used by Europeans to refer collectively to the lands of South and Southeast Asia, especially the regions rich in spices and other valuable trade goods.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8839b48190b164414b418e756c completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f3ecf4c8190bb9eee699859dc08 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:31 p.m.