Triple

T10084115
Position Surface form Disambiguated ID Type / Status
Subject Kelantan River E215175 entity
Predicate tributary P415 FINISHED
Object Sungai Kemubu E847891 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 Kemubu | Statement: [Kelantan River, tributary, Sungai Kemubu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sungai Kemubu
Context triple: [Kelantan River, tributary, Sungai Kemubu]
  • A. Sungai Muntoh
    Sungai Muntoh is a small settlement located in the Jelebu District of Negeri Sembilan, Malaysia.
  • B. 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.
  • C. Semantan River
    The Semantan River is a significant tributary waterway in the Malaysian state of Pahang, contributing to the flow and drainage of the larger Pahang River basin.
  • D. Lematang River
    The Lematang River is a waterway in South Sumatra, Indonesia, that flows through the region’s lowlands and settlements before joining the larger Musi River system.
  • E. Sungai Sokor chosen
    Sungai Sokor is a river in the Malaysian state of Kelantan that forms part of the region’s inland freshwater system and local watershed.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd044c1ec8190b5b48cdb0584d00c completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d354e57ea88190922e7eee07fd86f2 completed April 6, 2026, 6:38 a.m.
Created at: March 30, 2026, 9 p.m.