Triple

T10084116
Position Surface form Disambiguated ID Type / Status
Subject Kelantan River E215175 entity
Predicate tributary P415 FINISHED
Object Sungai Kelar
Sungai Kelar is a smaller river in the Malaysian state of Kelantan that feeds into the larger Kelantan River system.
 E848545 NE FINISHED

How this triple was built (4 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 Kelar | Statement: [Kelantan River, tributary, Sungai Kelar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sungai Kelar
Context triple: [Kelantan River, tributary, Sungai Kelar]
  • A. 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.
  • B. Sungai Sokor
    Sungai Sokor is a river in the Malaysian state of Kelantan that forms part of the region’s inland freshwater system and local watershed.
  • C. Nenggiri River
    The Nenggiri River is a significant waterway in Kelantan, Malaysia, known for its natural landscapes and role in regional river systems and development projects.
  • D. Sungai Muntoh
    Sungai Muntoh is a small settlement located in the Jelebu District of Negeri Sembilan, Malaysia.
  • E. Dungun River
    Dungun River is a river in the Malaysian state of Terengganu, known for flowing through the Dungun district toward the South China Sea.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sungai Kelar
Triple: [Kelantan River, tributary, Sungai Kelar]
Generated description
Sungai Kelar is a smaller river in the Malaysian state of Kelantan that feeds into the larger Kelantan River system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sungai Kelar
Target entity description: Sungai Kelar is a smaller river in the Malaysian state of Kelantan that feeds into the larger Kelantan River system.
  • A. 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.
  • B. Sungai Sokor
    Sungai Sokor is a river in the Malaysian state of Kelantan that forms part of the region’s inland freshwater system and local watershed.
  • C. Nenggiri River
    The Nenggiri River is a significant waterway in Kelantan, Malaysia, known for its natural landscapes and role in regional river systems and development projects.
  • D. Sungai Muntoh
    Sungai Muntoh is a small settlement located in the Jelebu District of Negeri Sembilan, Malaysia.
  • E. Dungun River
    Dungun River is a river in the Malaysian state of Terengganu, known for flowing through the Dungun district toward the South China Sea.
  • F. None of above. chosen

Provenance (5 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_69d3697d5b008190b274a086172c7a7d completed April 6, 2026, 8:06 a.m.
NEDg Description generation batch_69d37540b60c8190a52b03c57b4e3708 completed April 6, 2026, 8:56 a.m.
NED2 Entity disambiguation (via description) batch_69d3763948188190a47f48076fc767cb completed April 6, 2026, 9 a.m.
Created at: March 30, 2026, 9 p.m.