Triple

T4718620
Position Surface form Disambiguated ID Type / Status
Subject Yauza River E104708 entity
Predicate hasTributary P415 FINISHED
Object Sinyaya River E475847 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: Sinyaya River | Statement: [Yauza River, hasTributary, Sinyaya River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinyaya River
Context triple: [Yauza River, hasTributary, Sinyaya River]
  • A. Tinkisso River
    The Tinkisso River is a significant waterway in West Africa that flows through Guinea and contributes to the Niger River basin.
  • B. Syas River chosen
    The Syas River is a waterway in northwestern Russia that flows from the Valdai Hills through the Leningrad Oblast before emptying into Lake Ladoga.
  • C. Situk River
    The Situk River is a renowned Alaskan river famous for its pristine waters and exceptional wild salmon and steelhead fishing.
  • D. Adycha River
    The Adycha River is a significant river in northeastern Siberia, Russia, known for flowing through remote permafrost regions before joining the Yana River system.
  • E. Nyari River
    The Nyari River is a regional river in the Indian state of Gujarat that flows through and helps sustain the city of Rajkot.
  • 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd642779a08190b01e588d515cf498 completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8fa179c008190a6bba55cb62b7fe8 completed March 29, 2026, 10:08 a.m.
Created at: March 20, 2026, 1:18 p.m.