Triple

T19888503
Position Surface form Disambiguated ID Type / Status
Subject Azamgarh E477965 entity
Predicate hasRiver P165 FINISHED
Object Tamsa 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: Tamsa River | Statement: [Azamgarh, hasRiver, Tamsa River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamsa River
Context triple: [Azamgarh, hasRiver, 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. Lonja River
    The Lonja River is a significant waterway in Croatia known for flowing through the Lonjsko Polje Nature Park, one of the largest protected wetland areas in Europe.
  • D. 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.
  • E. Alviela River
    The Alviela River is a river in central Portugal known for its karst springs and for flowing through the Santarém District before joining the Tagus River.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6590c1b9c8190abbfaa04b80713b3 completed April 20, 2026, 4:49 p.m.
Created at: April 10, 2026, 1:52 p.m.