Triple

T4186284
Position Surface form Disambiguated ID Type / Status
Subject Kawi language E88318 entity
Predicate hasNotableWork P4 FINISHED
Object Sutasoma E118162 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: Sutasoma | Statement: [Kawi language, hasNotableWork, Sutasoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sutasoma
Context triple: [Kawi language, hasNotableWork, Sutasoma]
  • A. Kakawin Sutasoma chosen
    Kakawin Sutasoma is a 14th-century Old Javanese Buddhist epic poem by Mpu Tantular, renowned as the source of Indonesia’s national motto “Bhinneka Tunggal Ika” (Unity in Diversity).
  • B. Puranānūru
    Puranānūru is an ancient Tamil poetic anthology of the Sangam era, renowned for its verses on war, kingship, ethics, and the public life of early Tamil society.
  • C. Swaralipi
    Swaralipi is a significant literary and musical work by Bengali polymath Dwijendranath Tagore, reflecting his contributions to early modern Bengali culture and aesthetics.
  • 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. Kawi
    Kawi is an ancient Brahmic script historically used in maritime Southeast Asia, particularly for Old Javanese and related languages.
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af032490888190bbfa422003caca99 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a00e3308190b4fbed211069204a completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:45 p.m.