Triple

T1122362
Position Surface form Disambiguated ID Type / Status
Subject Straits Settlements E24639 entity
Predicate contains P35 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: [Straits Settlements, contains, Malacca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malacca
Context triple: [Straits Settlements, contains, 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbbf71188190b82c8fff9d5ac01a completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac763d917881908b3981a95d901717 completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:44 p.m.