Triple

T10072022
Position Surface form Disambiguated ID Type / Status
Subject Eastern Malayo-Polynesian languages E213651 entity
Predicate includesLanguage P2177 FINISHED
Object Kawi E88318 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: Kawi | Statement: [Eastern Malayo-Polynesian languages, includesLanguage, Kawi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kawi
Context triple: [Eastern Malayo-Polynesian languages, includesLanguage, Kawi]
  • A. Kawi
    Kawi is an ancient Brahmic script historically used in maritime Southeast Asia, particularly for Old Javanese and related languages.
  • B. Man'yōgana
    Man'yōgana is an ancient Japanese writing system that used Chinese characters phonetically and served as a precursor to the modern hiragana and katakana syllabaries.
  • C. Kawi language chosen
    Kawi language is an Old Javanese literary and liturgical language of ancient Indonesia, historically used in inscriptions and classical texts across the region.
  • D. Akananuru
    Akananuru is a classical Tamil poetic anthology of 400 love-themed poems that forms a key part of the ancient Sangam literature.
  • E. Te Namo
    Te Namo is the large central lagoon of Funafuti Atoll in Tuvalu, known for its shallow turquoise waters and surrounding coral islets.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd013c9d0819091ebe6fc399832de completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29aaa61308190b134b49a6c1c1131 completed April 5, 2026, 5:23 p.m.
Created at: March 30, 2026, 8:59 p.m.