Triple

T21912151
Position Surface form Disambiguated ID Type / Status
Subject Payangan E541090 entity
Predicate hasRiver P165 FINISHED
Object Ayung River NE NERFINISHED

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: Ayung River | Statement: [Payangan, hasRiver, Ayung River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayung River
Context triple: [Payangan, hasRiver, Ayung River]
  • A. Ayung River chosen
    Ayung River is a major river in Bali, Indonesia, renowned for its lush jungle scenery, river rafting, and proximity to popular resorts and cultural sites.
  • B. Baliem River
    The Baliem River is a major waterway in the central highlands of Papua, Indonesia, flowing through the remote Baliem Valley and sustaining the indigenous Dani and other local communities.
  • C. Way Kambas River
    Way Kambas River is a waterway flowing through Indonesia’s Way Kambas National Park, supporting its rich lowland ecosystems and wildlife.
  • D. Cimanuk River
    The Cimanuk River is a major river in West Java, Indonesia, known for its role in regional irrigation, agriculture, and flood control.
  • E. Embaloh River
    The Embaloh River is a tributary waterway in West Kalimantan, Indonesia, that feeds into the larger Kapuas River system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47c4b9c8190a5586a75f5f36453 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121db1dc48190af5dc634431d863a completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:41 p.m.