Triple

T1811454
Position Surface form Disambiguated ID Type / Status
Subject Negeri Sembilan E40340 entity
Predicate borderedBy P224 FINISHED
Object Melaka 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: Melaka | Statement: [Negeri Sembilan, borderedBy, Melaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melaka
Context triple: [Negeri Sembilan, borderedBy, Melaka]
  • 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. Johor Lama
    Johor Lama was a historic fortified riverine settlement that served as an important political and trading center of the Johor Sultanate in the Malay Peninsula.
  • E. Kertajaya
    Kertajaya was a 13th-century king of the Kediri Kingdom in Java, remembered for his conflict with the emerging Singhasari kingdom and his role in the region’s political transition.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c64bc08190b993216890752b46 completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0305b6d08190804da5445e1f54d9 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:32 p.m.