Triple

T4076784
Position Surface form Disambiguated ID Type / Status
Subject Vatteluttu script E86783 entity
Predicate alternativeName P39 FINISHED
Object Vatteḻuttu E411506 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: Vatteḻuttu | Statement: [Vatteluttu script, alternativeName, Vatteḻuttu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vatteḻuttu
Context triple: [Vatteluttu script, alternativeName, Vatteḻuttu]
  • A. Vattezhuthu chosen
    Vattezhuthu is an ancient South Indian script historically used to write early forms of the Tamil and Malayalam languages.
  • B. Pattuppāṭṭu
    Pattuppāṭṭu is a classical Tamil poetic anthology comprising ten long idylls that are among the earliest and most important works of Sangam literature.
  • C. Tolkāppiyam
    Tolkāppiyam is an ancient Tamil grammatical and poetic treatise, regarded as one of the earliest and foundational works of Tamil literature.
  • D. 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.
  • E. Swaralipi
    Swaralipi is a significant literary and musical work by Bengali polymath Dwijendranath Tagore, reflecting his contributions to early modern Bengali culture and aesthetics.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc4ba3f08190a6c6aaf6e9c99bd5 completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b5c2c948190a2548e26be3eedfd completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:39 p.m.