Triple

T7300149
Position Surface form Disambiguated ID Type / Status
Subject Musi River E167825 entity
Predicate tributary P415 FINISHED
Object Leko River
The Leko River is a waterway in South Sumatra, Indonesia, that forms part of the Musi River basin and contributes to the region’s extensive river network.
E935442 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: Leko River | Statement: [Musi River, tributary, Leko River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leko River
Context triple: [Musi River, tributary, Leko River]
  • A. Lososinka River
    The Lososinka River is a small river in the Republic of Karelia, Russia, that flows through the city of Petrozavodsk into Lake Onega.
  • B. Tecka River
    The Tecka River is a Patagonian watercourse in Argentina that feeds into the larger Chubut River system.
  • C. Pokshenga River
    The Pokshenga River is a waterway in northern Russia that feeds into the larger Northern Dvina River system.
  • D. Kysva River
    The Kysva River is a smaller watercourse that serves as a right-bank tributary feeding into the larger Prut River in Eastern Europe.
  • E. Vizezy River
    The Vizezy River is a small watercourse in central France that flows through the town of Montbrison in the Loire department.
  • 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: Leko River
Triple: [Musi River, tributary, Leko River]
Generated description
The Leko River is a waterway in South Sumatra, Indonesia, that forms part of the Musi River basin and contributes to the region’s extensive river network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leko River
Target entity description: The Leko River is a waterway in South Sumatra, Indonesia, that forms part of the Musi River basin and contributes to the region’s extensive river network.
  • A. Lososinka River
    The Lososinka River is a small river in the Republic of Karelia, Russia, that flows through the city of Petrozavodsk into Lake Onega.
  • B. Tecka River
    The Tecka River is a Patagonian watercourse in Argentina that feeds into the larger Chubut River system.
  • C. Pokshenga River
    The Pokshenga River is a waterway in northern Russia that feeds into the larger Northern Dvina River system.
  • D. Kysva River
    The Kysva River is a smaller watercourse that serves as a right-bank tributary feeding into the larger Prut River in Eastern Europe.
  • E. Vizezy River
    The Vizezy River is a small watercourse in central France that flows through the town of Montbrison in the Loire department.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebaef4a081908fadc6d5e2621e80 completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69e712b2ff1081908ccf311e1133ab72 completed April 21, 2026, 6:01 a.m.
NEDg Description generation batch_69e720f4015c81909ba7973c3e781985 completed April 21, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69e75a7a04c88190bb8f3dd3f3e435ef completed April 21, 2026, 11:07 a.m.
Created at: March 27, 2026, 3:01 p.m.