Triple

T4832178
Position Surface form Disambiguated ID Type / Status
Subject Wikipedia puzzle globe E107968 entity
Predicate hasWritingSystem P454 FINISHED
Object Sinhala script E55476 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 script | Statement: [Wikipedia puzzle globe, hasWritingSystem, Sinhala script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinhala script
Context triple: [Wikipedia puzzle globe, hasWritingSystem, Sinhala script]
  • A. Sinhala script chosen
    The Sinhala script is an abugida writing system used primarily in Sri Lanka to write the Sinhala language and, to a lesser extent, Pali and Sanskrit.
  • B. Tamil script
    Tamil script is an abugida writing system primarily used to write the Tamil language and several other Dravidian and South Asian languages.
  • C. Sinhala
    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.
  • D. Sinhalese
    The Sinhalese are the largest ethnic group in Sri Lanka, predominantly Buddhist and historically associated with the island’s Sinhala language and culture.
  • E. Thaana script
    Thaana script is a unique writing system used primarily for the Maldivian (Dhivehi) language, written from right to left and combining features of both Indic and Arabic scripts.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cc924e08190b03a7541c629aff9 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dd4224c8190be7568bb611f81a3 completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:24 p.m.