Triple

T1345486
Position Surface form Disambiguated ID Type / Status
Subject Car Nicobar E28560 entity
Predicate hasSettlement P1068 FINISHED
Object Malacca E55929 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: Malacca | Statement: [Car Nicobar, hasSettlement, Malacca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malacca
Context triple: [Car Nicobar, hasSettlement, Malacca]
  • A. Malacca chosen
    Malacca is a historic Malaysian state on the southwest coast of the Malay Peninsula, renowned for its rich multicultural heritage and its former role as a major trading port.
  • B. Penang
    Penang is a Malaysian state and island renowned for its multicultural heritage, historic George Town, and vibrant street food scene.
  • C. Johor Bahru
    Johor Bahru is a large, rapidly developing city in southern Peninsular Malaysia, located just across the causeway from Singapore and serving as the capital of Johor state.
  • D. Malacca Sultanate
    The Malacca Sultanate was a powerful 15th–16th century Malay maritime empire centered in the port city of Malacca, which became a major hub of regional trade and the spread of Islam in Southeast Asia.
  • E. Labuan
    Labuan is a coastal town in Banten, western Java, Indonesia, known as a gateway to nearby natural attractions and marine tourism areas.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c23e84188190b0395c57dd45b62a completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc6351cbc81909e2ffc692ee92b54 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:56 p.m.