Triple

T9769145
Position Surface form Disambiguated ID Type / Status
Subject Dungun River E237074 entity
Predicate hasNameInLanguage P15 FINISHED
Object Sungai Dungun (Malay) E237074 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: Sungai Dungun (Malay) | Statement: [Dungun River, hasNameInLanguage, Sungai Dungun (Malay)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sungai Dungun (Malay)
Context triple: [Dungun River, hasNameInLanguage, Sungai Dungun (Malay)]
  • A. Dungun River chosen
    Dungun River is a river in the Malaysian state of Terengganu, known for flowing through the Dungun district toward the South China Sea.
  • B. Terengganu River
    The Terengganu River is a significant waterway in the Malaysian state of Terengganu, flowing through Kuala Terengganu and playing an important role in local transport, fishing, and tourism.
  • C. Sungai Muntoh
    Sungai Muntoh is a small settlement located in the Jelebu District of Negeri Sembilan, Malaysia.
  • D. Sungai Perlis
    Sungai Perlis is a river in the Malaysian state of Perlis that flows through its capital, Kangar, and plays an important role in the region’s drainage and local economy.
  • E. Sungai Pelek
    Sungai Pelek is a small town in the Sepang District of Selangor, Malaysia, known for its agricultural activities and proximity to coastal and eco-tourism attractions.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0f0c64c81908f3435dd49c0218b completed April 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd05f2588190ab413d26342aa70f completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:26 p.m.