Triple

T1346099
Position Surface form Disambiguated ID Type / Status
Subject Daugava River E28573 entity
Predicate hasTributary P415 FINISHED
Object Ulla River
Ulla River is a tributary watercourse in Eastern Europe that feeds into the larger Daugava River system.
 E321562 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: Ulla River | Statement: [Daugava River, hasTributary, Ulla River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ulla River
Context triple: [Daugava River, hasTributary, Ulla 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. 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.
  • C. 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.
  • D. Tecka River
    The Tecka River is a Patagonian watercourse in Argentina that feeds into the larger Chubut River system.
  • E. Evinos River
    The Evinos River is a significant river in western Greece known for its scenic course through mountainous terrain and its role in regional water management and outdoor recreation.
  • 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: Ulla River
Triple: [Daugava River, hasTributary, Ulla River]
Generated description
Ulla River is a tributary watercourse in Eastern Europe that feeds into the larger Daugava River system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ulla River
Target entity description: Ulla River is a tributary watercourse in Eastern Europe that feeds into the larger Daugava River system.
  • 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. 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.
  • C. 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.
  • D. Tecka River
    The Tecka River is a Patagonian watercourse in Argentina that feeds into the larger Chubut River system.
  • E. Evinos River
    The Evinos River is a significant river in western Greece known for its scenic course through mountainous terrain and its role in regional water management and outdoor recreation.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c23e84188190b0395c57dd45b62a completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1de5dc6e88190beda5545a2e2f84c completed March 11, 2026, 9:27 p.m.
NEDg Description generation batch_69b1e6eb23a08190845b80e711c56cb7 completed March 11, 2026, 10:04 p.m.
NED2 Entity disambiguation (via description) batch_69b1e75daa7c8190af420ff3458923ae completed March 11, 2026, 10:06 p.m.
Created at: March 1, 2026, 7:56 p.m.