Triple

T16071178
Position Surface form Disambiguated ID Type / Status
Subject Maham Assembly constituency E389863 entity
Predicate countrySubdivision P766 FINISHED
Object Republic of 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: Republic of India | Statement: [Maham Assembly constituency, countrySubdivision, Republic of India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Republic of India
Context triple: [Maham Assembly constituency, countrySubdivision, 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 chosen
    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
    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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183be909c8190ac6c37ab047151ae completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb8f12708190956f203a3e58e18b completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 4:57 a.m.