Triple

T22113870
Position Surface form Disambiguated ID Type / Status
Subject Parahyangan Plateau E546486 entity
Predicate drainedByRiver P4497 FINISHED
Object Cimanuk 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: Cimanuk River | Statement: [Parahyangan Plateau, drainedByRiver, Cimanuk River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cimanuk River
Context triple: [Parahyangan Plateau, drainedByRiver, Cimanuk River]
  • A. Cimanuk River chosen
    The Cimanuk River is a major river in West Java, Indonesia, known for its role in regional irrigation, agriculture, and flood control.
  • B. Cimandiri River
    The Cimandiri River is a significant river in West Java, Indonesia, flowing through the Parahyangan highlands toward the southern coast.
  • C. Embaloh River
    The Embaloh River is a tributary waterway in West Kalimantan, Indonesia, that feeds into the larger Kapuas River system.
  • D. Cikandung River
    The Cikandung River is a secondary watercourse in West Java, Indonesia, that feeds into the larger Cimanuk River system.
  • E. Bekasi River
    Bekasi River is a river in West Java, Indonesia, that flows through the city of Bekasi and plays a significant role in the region’s drainage and urban environment.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1294b9d5c8190897b760ca4f3b09a completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.