Triple

T17457869
Position Surface form Disambiguated ID Type / Status
Subject Lake Bandak E425076 entity
Predicate inflow P415 FINISHED
Object Dalaåi
Dalaåi is a river in Norway that serves as one of the main tributaries feeding into Lake Bandak.
 E1270576 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: Dalaåi | Statement: [Lake Bandak, inflow, Dalaåi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dalaåi
Context triple: [Lake Bandak, inflow, Dalaåi]
  • A. Dala-Koll
    Dala-Koll is a figure from Icelandic saga literature, known primarily as the father of Höskuldur Dala-Kollsson and an early chieftain in the Dalir region.
  • B. Lakkjia
    Lakkjia is an alternative name for the Lakkia language, a Kam–Sui language spoken by the Lakkia people in parts of southern China.
  • C. Dæhlie
    Dæhlie is a Norwegian surname most famously associated with legendary cross-country skier Bjørn Dæhlie.
  • D. Daala
    Daala is an experimental next-generation video codec project developed by Xiph.Org and Mozilla that introduced many innovative compression techniques later influencing the design of AV1.
  • E. Dalva
    Dalva is a surname most notably associated with American film editor Robert Dalva, recognized for his work on major Hollywood productions.
  • 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: Dalaåi
Triple: [Lake Bandak, inflow, Dalaåi]
Generated description
Dalaåi is a river in Norway that serves as one of the main tributaries feeding into Lake Bandak.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dalaåi
Target entity description: Dalaåi is a river in Norway that serves as one of the main tributaries feeding into Lake Bandak.
  • A. Dala-Koll
    Dala-Koll is a figure from Icelandic saga literature, known primarily as the father of Höskuldur Dala-Kollsson and an early chieftain in the Dalir region.
  • B. Lakkjia
    Lakkjia is an alternative name for the Lakkia language, a Kam–Sui language spoken by the Lakkia people in parts of southern China.
  • C. Dæhlie
    Dæhlie is a Norwegian surname most famously associated with legendary cross-country skier Bjørn Dæhlie.
  • D. Daala
    Daala is an experimental next-generation video codec project developed by Xiph.Org and Mozilla that introduced many innovative compression techniques later influencing the design of AV1.
  • E. Dalva
    Dalva is a surname most notably associated with American film editor Robert Dalva, recognized for his work on major Hollywood productions.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4514385e48190b97a257bb3d07d2d completed April 19, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01b820024c8190bd8f083b426f82f5 completed May 11, 2026, 11:06 a.m.
NEDg Description generation batch_6a01b90e68d08190be86aee8d6692ce1 completed May 11, 2026, 11:10 a.m.
NED2 Entity disambiguation (via description) batch_6a01b993324081908b561700bbeac11c completed May 11, 2026, 11:12 a.m.
Created at: April 10, 2026, 5:47 a.m.