Triple

T19410089
Position Surface form Disambiguated ID Type / Status
Subject Boudh district E485563 entity
Predicate hasTribalCommunity P17132 FINISHED
Object Santal NE NERFINISHED

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: Santal | Statement: [Boudh district, hasTribalCommunity, Santal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santal
Context triple: [Boudh district, hasTribalCommunity, Santal]
  • A. Santal chosen
    Santal are an indigenous ethnic group of South Asia, primarily found in India, Bangladesh, and Nepal, known for their distinct Austroasiatic language, rich oral traditions, and agrarian lifestyle.
  • B. Rajula
    Rajula is a town in Gujarat, India, known for its stone quarries and coastal proximity along the Arabian Sea.
  • C. Santalī
    Santalī is an Austroasiatic language spoken primarily by the Santal people in eastern India, Bangladesh, Nepal, and Bhutan.
  • D. Sarraméa
    Sarraméa is a small inland commune in New Caledonia known for its lush mountainous landscapes and eco-tourism activities.
  • E. Mussaenda
    Mussaenda is a genus of tropical flowering shrubs and small trees known for their showy, brightly colored bracts that resemble petals.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af4cc0c81909056b5e2ee574ab1 completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.