Triple

T13661823
Position Surface form Disambiguated ID Type / Status
Subject Mau district E327015 entity
Predicate river P165 FINISHED
Object Tamsa River E1035978 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: Tamsa River | Statement: [Mau district, river, Tamsa River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamsa River
Context triple: [Mau district, river, Tamsa River]
  • A. Tamsa River chosen
    The Tamsa River is a tributary of the Ganges in northern India, flowing through Uttar Pradesh and Madhya Pradesh and passing towns such as Akbarpur along its course.
  • B. Salso River
    The Salso River is a significant watercourse in central Sicily, Italy, flowing through the island’s interior before emptying into the Mediterranean Sea.
  • C. Majes River
    The Majes River is a significant river in southern Peru known for irrigating the fertile Majes Valley and supporting extensive agricultural activities in an otherwise arid region.
  • D. Narcea River
    The Narcea River is a major river in northern Spain that flows through Asturias, known for its salmon fishing and scenic valleys.
  • E. Tamor River
    The Tamor River is a major river in eastern Nepal that originates in the Himalayas and is one of the principal tributaries forming the Sapta Koshi River system.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc620df208190afaccf3ddd10aa60 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda9009ce88190b77c8f02f38107e1 completed May 8, 2026, 9:12 a.m.
Created at: April 9, 2026, 9:52 p.m.