Triple

T7274782
Position Surface form Disambiguated ID Type / Status
Subject Riau Malay E162996 entity
Predicate geographicallyCloseTo P61362 FINISHED
Object Johor, Malaysia E40971 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: Johor, Malaysia | Statement: [Riau Malay, geographicallyCloseTo, Johor, Malaysia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johor, Malaysia
Context triple: [Riau Malay, geographicallyCloseTo, Johor, Malaysia]
  • A. Johor chosen
    Johor is a state in southern Peninsular Malaysia known for its strategic location bordering Singapore, diverse economy, and rich Malay cultural heritage.
  • B. 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.
  • C. Perak
    Perak is a Malaysian state on the west coast of the Malay Peninsula, historically known for its rich tin deposits and former status as a key sultanate within British Malaya.
  • D. Kuala Perlis
    Kuala Perlis is a small coastal town in Malaysia known as a key ferry gateway to the resort island of Langkawi.
  • E. Negeri Sembilan
    Negeri Sembilan is a state in western Peninsular Malaysia known for its Minangkabau cultural heritage and distinctive traditional architecture.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb0fd8788190aa21d4b2ad773926 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db2936dc8190aed38888bb5e47b8 completed March 28, 2026, 1:44 p.m.
Created at: March 27, 2026, 2:58 p.m.