Triple

T17126238
Position Surface form Disambiguated ID Type / Status
Subject Siang River E415602 entity
Predicate confluenceWith P2416 FINISHED
Object Dibang River E52395 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: Dibang River | Statement: [Siang River, confluenceWith, Dibang River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dibang River
Context triple: [Siang River, confluenceWith, Dibang River]
  • A. Dibang River chosen
    The Dibang River is a significant river in northeastern India and one of the principal tributaries contributing to the flow of the Brahmaputra.
  • B. Neora River
    Neora River is a mountain river in the eastern Himalayas of India, known for flowing through the biodiverse Neora Valley region and lending its name to Neora Valley National Park.
  • C. Drangme Chhu
    Drangme Chhu is one of Bhutan’s largest and most significant rivers, flowing through the country’s eastern region and supporting local agriculture and hydropower.
  • D. Argichi River
    The Argichi River is a watercourse in Armenia that serves as one of the tributaries feeding into Lake Sevan.
  • E. Rangpo River
    The Rangpo River is a Himalayan river in the Indian state of Sikkim that flows through steep valleys and towns like Rangpo before joining the Teesta 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f026ae188190b8c1e08529719878 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01414a51d4819086c2346fe2d4fce4 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.