Triple

T21394982
Position Surface form Disambiguated ID Type / Status
Subject Kanowit River E527755 entity
Predicate hasNameInLanguage P15 FINISHED
Object Malay: Sungai Kanowit
Sungai Kanowit is a river in Sarawak, Malaysia, that flows into the Rajang River near the town of Kanowit.
E1482283 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: Malay: Sungai Kanowit | Statement: [Kanowit River, hasNameInLanguage, Malay: Sungai Kanowit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malay: Sungai Kanowit
Context triple: [Kanowit River, hasNameInLanguage, Malay: Sungai Kanowit]
  • A. Sungai Muntoh
    Sungai Muntoh is a small settlement located in the Jelebu District of Negeri Sembilan, Malaysia.
  • B. Sungai Nal
    Sungai Nal is a smaller river in the Malaysian state of Kelantan that feeds into the larger Kelantan River system.
  • C. Selangor river system
    The Selangor river system is a major network of rivers and tributaries in the state of Selangor, Malaysia, that provides key water resources, supports local ecosystems, and underpins regional development.
  • D. Sungai Batu
    Sungai Batu is a river in Malaysia that flows near the famous Batu Caves limestone hill and temple complex.
  • E. 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.
  • 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: Malay: Sungai Kanowit
Triple: [Kanowit River, hasNameInLanguage, Malay: Sungai Kanowit]
Generated description
Sungai Kanowit is a river in Sarawak, Malaysia, that flows into the Rajang River near the town of Kanowit.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Malay: Sungai Kanowit
Target entity description: Sungai Kanowit is a river in Sarawak, Malaysia, that flows into the Rajang River near the town of Kanowit.
  • A. Sungai Muntoh
    Sungai Muntoh is a small settlement located in the Jelebu District of Negeri Sembilan, Malaysia.
  • B. Sungai Nal
    Sungai Nal is a smaller river in the Malaysian state of Kelantan that feeds into the larger Kelantan River system.
  • C. Selangor river system
    The Selangor river system is a major network of rivers and tributaries in the state of Selangor, Malaysia, that provides key water resources, supports local ecosystems, and underpins regional development.
  • D. Sungai Batu
    Sungai Batu is a river in Malaysia that flows near the famous Batu Caves limestone hill and temple complex.
  • E. 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.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b117d8c881908b823c1212b5b919 completed April 22, 2026, 11:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09bb4a9390819093f0ce34f96420ce completed May 17, 2026, 12:57 p.m.
NEDg Description generation batch_6a09bea3994481908b7a782fd384603a completed May 17, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09bfa27d848190bb77d632359a11b3 completed May 17, 2026, 1:16 p.m.
Created at: April 16, 2026, 5:13 p.m.