Triple

T318931
Position Surface form Disambiguated ID Type / Status
Subject Indo-Aryan languages E7769 entity
Predicate includesLanguage P2177 FINISHED
Object Sinhala E10172 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: Sinhala | Statement: [Indo-Aryan languages, includesLanguage, Sinhala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinhala
Context triple: [Indo-Aryan languages, includesLanguage, Sinhala]
  • A. Sinhala chosen
    Sinhala is an Indo-Aryan language primarily spoken by the Sinhalese people of Sri Lanka and used as one of the country’s official languages.
  • B. Jaffna Tamil
    Jaffna Tamil is a distinct regional variety of the Tamil language spoken primarily in and around Jaffna in northern Sri Lanka, known for its conservative linguistic features and unique phonology and vocabulary.
  • C. Tamil
    Tamil is a classical Dravidian language spoken predominantly in the Indian state of Tamil Nadu and in parts of Sri Lanka, with a rich literary tradition spanning over two millennia.
  • D. Santhali
    Santhali is an Austroasiatic language spoken primarily by the Santal people in eastern India, Bangladesh, Nepal, and Bhutan.
  • E. Sindhi
    Sindhi is an Indo-Aryan language spoken primarily in Pakistan and India, known for its rich literary tradition and distinct script variants.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea7edbc48190b9031bd1af48f72a completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3c8ba3304819099db7b60f2c83c8b completed March 1, 2026, 5:03 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.