Triple

T14258084
Position Surface form Disambiguated ID Type / Status
Subject Old Malay script E353436 entity
Predicate usedIn P98 FINISHED
Object Malay world E28690 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: Malay world | Statement: [Old Malay script, usedIn, Malay world]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malay world
Context triple: [Old Malay script, usedIn, Malay world]
  • A. Malay world chosen
    The Malay world is a cultural and historical region of Maritime Southeast Asia encompassing areas where Malay peoples and related Austronesian groups have traditionally lived and shared linguistic, religious, and social traditions.
  • B. Alam Melayu
    Alam Melayu refers to the cultural and historical Malay world encompassing the Malay-speaking peoples and regions of Maritime Southeast Asia.
  • C. Malaya Muksalma
    Malaya Muksalma is a small island in Russia’s White Sea that forms part of the Solovetsky archipelago, known for its remote northern location and historical monastic connections.
  • D. West Malaysia
    West Malaysia is the peninsular region of Malaysia on the Asian mainland, comprising 11 states and the federal territories of Kuala Lumpur and Putrajaya.
  • E. MALAYSIAN
    MALAYSIAN is the radio callsign used by Malaysia Airlines for its commercial flight operations.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6352611c819090d062fe3079cd03 completed April 14, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd325f213881909acf776ff4831c30 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:09 a.m.