Triple

T279326
Position Surface form Disambiguated ID Type / Status
Subject Sevagram Ashram E5318 entity
Predicate namedAfter P63 FINISHED
Object Sevagram E39954 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: Sevagram | Statement: [Sevagram Ashram, namedAfter, Sevagram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sevagram
Context triple: [Sevagram Ashram, namedAfter, Sevagram]
  • A. Sevagram chosen
    Sevagram is a village in Maharashtra, India, best known as Mahatma Gandhi’s residence and the site of his Sevagram Ashram during the Indian independence movement.
  • B. Kadmat
    Kadmat is a coral island in India’s Lakshadweep archipelago, known for its white-sand beaches, clear lagoons, and vibrant marine life that make it a popular destination for snorkeling and diving.
  • C. Yerrapragada
    Yerrapragada was a prominent medieval Telugu poet and scholar, renowned for his contributions to classical Telugu literature and refinement of earlier works.
  • D. Sibi
    Sibi is a historic town and district in the Balochistan region of Pakistan, known for its hot climate and traditional annual cattle and horse fair.
  • E. Kalpeni
    Kalpeni is a coral atoll and inhabited island in India’s Lakshadweep archipelago in the Arabian Sea, known for its lagoon, beaches, and coconut groves.
  • 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_69a257e6c8788190987dfe705ca2912a completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25def95c48190bb8ab2259f67b583 completed Feb. 28, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3c4141d288190a6873cf20e360fe1 completed March 1, 2026, 4:44 a.m.
Created at: Feb. 28, 2026, 2:59 a.m.