Triple

T395868
Position Surface form Disambiguated ID Type / Status
Subject Malayalam E8980 entity
Predicate hasNativeName P1435 FINISHED
Object മലയാളം E8980 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: മലയാളം | Statement: [Malayalam, hasNativeName, മലയാളം]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: മലയാളം
Context triple: [Malayalam, hasNativeName, മലയാളം]
  • A. Malayalam chosen
    Malayalam is a Dravidian language predominantly spoken in the Indian state of Kerala and the union territories of Lakshadweep and Puducherry.
  • B. Kannada
    Kannada is a major Dravidian language predominantly spoken in the Indian state of Karnataka and surrounding regions, with a rich literary tradition spanning over a millennium.
  • 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. Maithili
    Maithili is an Indo-Aryan language spoken primarily in the eastern Indian state of Bihar and neighboring regions, with a rich literary tradition and official recognition in India.
  • E. Malayalam script
    The Malayalam script is a Brahmic-derived abugida used primarily in the Indian state of Kerala to write the Malayalam language, notable for its rounded letters and extensive set of consonant and vowel signs.
  • 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec792dd081909b6b18a854139f8c completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a413f1148481908b4a25355ee07069 completed March 1, 2026, 10:24 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.