Triple

T1394927
Position Surface form Disambiguated ID Type / Status
Subject Malacca Sultanate E30643 entity
Predicate officialLanguage P236 FINISHED
Object Classical Malay E14600 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: Classical Malay | Statement: [Malacca Sultanate, officialLanguage, Classical Malay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Classical Malay
Context triple: [Malacca Sultanate, officialLanguage, Classical Malay]
  • A. Old Malay chosen
    Old Malay is an early historical form of the Malay language that served as a major lingua franca and literary language in maritime Southeast Asia.
  • B. Betawi Malay
    Betawi Malay is a Malay-based creole language spoken primarily in Jakarta, Indonesia, serving as the traditional language of the Betawi ethnic community.
  • C. Malay
    Malay is an Austronesian language widely spoken in Southeast Asia and serves as a national or official language in several countries, including Malaysia, Indonesia (as Indonesian), Brunei, and Singapore.
  • D. Kupang Malay
    Kupang Malay is a Malay-based creole language spoken primarily in and around the city of Kupang in eastern Indonesia.
  • E. Kawi (Old Javanese)
    Kawi (Old Javanese) is an early literary form of the Javanese language used in classical inscriptions and texts across Java and neighboring regions in Southeast Asia.
  • 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_69a498fd4e408190bd73eca30ea9754c completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c37e60388190a8efcb345be7a1b9 completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde2c62ac819090179b775ea544c9 completed March 8, 2026, 2:25 a.m.
Created at: March 1, 2026, 7:59 p.m.