Triple

T22333678
Position Surface form Disambiguated ID Type / Status
Subject Viskan E552087 entity
Predicate hasTributary P415 FINISHED
Object Munkån
Munkån is a small river in western Sweden that serves as one of the tributaries feeding into the larger Viskan river system.
 E1530536 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: Munkån | Statement: [Viskan, hasTributary, Munkån]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Munkån
Context triple: [Viskan, hasTributary, Munkån]
  • A. Munk
    Munk is a Polish surname most notably associated with Andrzej Munk, a prominent mid-20th-century film director of the Polish Film School.
  • B. Munttoren
    Munttoren is a historic clock and bell tower in central Amsterdam, originally part of the city’s medieval fortifications and now a notable canal-side landmark.
  • C. Möja
    Möja is a scenic inhabited island in Sweden’s Stockholm archipelago, known for its traditional fishing villages, guest harbors, and popular summer tourism.
  • D. Kockums
    Kockums is a Swedish shipyard and defense contractor renowned for designing advanced conventional submarines and naval vessels.
  • E. Smögen
    Smögen is a picturesque fishing village and popular seaside resort on Sweden’s west coast, known for its colorful wooden houses, lively harbor, and scenic granite cliffs.
  • 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: Munkån
Triple: [Viskan, hasTributary, Munkån]
Generated description
Munkån is a small river in western Sweden that serves as one of the tributaries feeding into the larger Viskan river system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Munkån
Target entity description: Munkån is a small river in western Sweden that serves as one of the tributaries feeding into the larger Viskan river system.
  • A. Munk
    Munk is a Polish surname most notably associated with Andrzej Munk, a prominent mid-20th-century film director of the Polish Film School.
  • B. Munttoren
    Munttoren is a historic clock and bell tower in central Amsterdam, originally part of the city’s medieval fortifications and now a notable canal-side landmark.
  • C. Möja
    Möja is a scenic inhabited island in Sweden’s Stockholm archipelago, known for its traditional fishing villages, guest harbors, and popular summer tourism.
  • D. Kockums
    Kockums is a Swedish shipyard and defense contractor renowned for designing advanced conventional submarines and naval vessels.
  • E. Smögen
    Smögen is a picturesque fishing village and popular seaside resort on Sweden’s west coast, known for its colorful wooden houses, lively harbor, and scenic granite cliffs.
  • 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1577cdcb08190a760e195c1051adb completed April 29, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ad529a9b081908edf8eedee7e957c completed May 18, 2026, 9 a.m.
NEDg Description generation batch_6a0ad993b9188190aacf482038b3cd29 completed May 18, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0ada0cef848190864a88d7baa24a81 completed May 18, 2026, 9:21 a.m.
Created at: April 16, 2026, 8:43 p.m.