Triple

T13216511
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Marwar E314629 entity
Predicate presentLocation P40 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: [Kingdom of Marwar, presentLocation, India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: India
Context triple: [Kingdom of Marwar, presentLocation, 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. India
    "India" is a popular song by American rapper Lil Durk, known for its melodic style and romantic themes.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf28c9c819080d7b42d20f579d1 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff1ebf648190a27d11b3dc494446 completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:18 p.m.