Triple

T16615947
Position Surface form Disambiguated ID Type / Status
Subject Rejang script E403694 entity
Predicate hasAlternateName P39 FINISHED
Object Kaganga Rejang E1223834 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: Kaganga Rejang | Statement: [Rejang script, hasAlternateName, Kaganga Rejang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaganga Rejang
Context triple: [Rejang script, hasAlternateName, Kaganga Rejang]
  • A. Rejang chosen
    Rejang are an indigenous ethnic group of southwestern Sumatra, Indonesia, known for their distinct Austronesian language and traditional Rejang script.
  • B. Embaloh River
    The Embaloh River is a tributary waterway in West Kalimantan, Indonesia, that feeds into the larger Kapuas River system.
  • C. Cimanuk River
    The Cimanuk River is a major river in West Java, Indonesia, known for its role in regional irrigation, agriculture, and flood control.
  • D. Cikandung River
    The Cikandung River is a secondary watercourse in West Java, Indonesia, that feeds into the larger Cimanuk River system.
  • E. Upper Rejang River
    The Upper Rejang River is a remote interior region of Borneo known for its dense rainforests and as a traditional homeland of indigenous groups such as the Kenyah people.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e375494260819099b6988857c52dde completed April 18, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00918ae5f48190a85af2dfbe9708d4 completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:17 a.m.