Triple

T2524459
Position Surface form Disambiguated ID Type / Status
Subject Lake Baikal E56001 entity
Predicate inflow P415 FINISHED
Object Tyya River
The Tyya River is a tributary watercourse in Siberia that feeds into Russia’s Lake Baikal, the world’s deepest and oldest freshwater lake.
 E451377 NE FINISHED

How this triple was built (4 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: Tyya River | Statement: [Lake Baikal, inflow, Tyya River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tyya River
Context triple: [Lake Baikal, inflow, Tyya River]
  • A. 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.
  • B. Tecka River
    The Tecka River is a Patagonian watercourse in Argentina that feeds into the larger Chubut River system.
  • C. Situk River
    The Situk River is a renowned Alaskan river famous for its pristine waters and exceptional wild salmon and steelhead fishing.
  • D. Mutirikwi River
    Mutirikwi River is a river in southeastern Zimbabwe that flows near the ancient stone city of Great Zimbabwe and feeds Lake Mutirikwi.
  • E. Yeso River
    The Yeso River is a significant Andean watercourse in central Chile that feeds into the Maipo River and helps supply water to the Santiago metropolitan region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tyya River
Triple: [Lake Baikal, inflow, Tyya River]
Generated description
The Tyya River is a tributary watercourse in Siberia that feeds into Russia’s Lake Baikal, the world’s deepest and oldest freshwater lake.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tyya River
Target entity description: The Tyya River is a tributary watercourse in Siberia that feeds into Russia’s Lake Baikal, the world’s deepest and oldest freshwater lake.
  • A. 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.
  • B. Tecka River
    The Tecka River is a Patagonian watercourse in Argentina that feeds into the larger Chubut River system.
  • C. Situk River
    The Situk River is a renowned Alaskan river famous for its pristine waters and exceptional wild salmon and steelhead fishing.
  • D. Mutirikwi River
    Mutirikwi River is a river in southeastern Zimbabwe that flows near the ancient stone city of Great Zimbabwe and feeds Lake Mutirikwi.
  • E. Yeso River
    The Yeso River is a significant Andean watercourse in central Chile that feeds into the Maipo River and helps supply water to the Santiago metropolitan region.
  • F. None of above. chosen

Provenance (5 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_69ab4a48e4f081908f1218d244608659 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd252f1c88190ac93604542f80f49 completed March 7, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69bdb8d89e248190a9cd92e9f61697f8 completed March 20, 2026, 9:15 p.m.
NEDg Description generation batch_69bdbe7657c08190a1dfb6afadd27cc7 completed March 20, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_69bdbed900b48190b8f41dc306dfed48 completed March 20, 2026, 9:40 p.m.
Created at: March 6, 2026, 9:46 p.m.