Triple

T3896176
Position Surface form Disambiguated ID Type / Status
Subject Palembang E88175 entity
Predicate majorRiver P165 FINISHED
Object Musi River E167825 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: Musi River | Statement: [Palembang, majorRiver, Musi River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Musi River
Context triple: [Palembang, majorRiver, Musi River]
  • A. Musi River
    The Musi River is a significant river in the Deccan region of India that flows through the city of Hyderabad, historically shaping its development and water supply.
  • B. Musi River chosen
    The Musi River is a major river in southern Sumatra, Indonesia, that flows through the city of Palembang and serves as an important transportation and economic lifeline for the region.
  • C. Sestra River
    The Sestra River is a watercourse in northwestern Russia that flows into the eastern part of the Gulf of Finland in the Baltic Sea.
  • D. Emra River
    Emra River is a lesser-known river in the northeastern Indian state of Arunachal Pradesh that serves as a tributary within the Dibang River basin in the eastern Himalayas.
  • E. Sura River
    The Sura River is a significant river in western Russia that flows through the Volga Upland and several regions before joining the Volga River.
  • 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecd34e608190bf1ca1d0c04562b2 completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e3777eac81908880498eaa6c1046 completed March 27, 2026, 1:55 a.m.
Created at: March 9, 2026, 3:21 p.m.