Triple

T13990508
Position Surface form Disambiguated ID Type / Status
Subject Falun E336558 entity
Predicate hasRiver P165 FINISHED
Object Faluån
Faluån is a small river in central Sweden that flows through the town of Falun, historically associated with the region’s mining industry and landscape.
 E1073664 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: Faluån | Statement: [Falun, hasRiver, Faluån]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faluån
Context triple: [Falun, hasRiver, Faluån]
  • A. Löningen
    Löningen is a small town and municipality in Lower Saxony, Germany, known for its rural character and location within the Cloppenburg district.
  • B. Kastlösa
    Kastlösa is a small village on the island of Öland in southeastern Sweden, known for its rural landscape and traditional agricultural surroundings.
  • C. Korsnäs
    Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
  • D. Finnås
    Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
  • E. Torgny
    Torgny is a masculine given name of Scandinavian origin, most notably borne by the Swedish author Torgny Lindgren.
  • 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: Faluån
Triple: [Falun, hasRiver, Faluån]
Generated description
Faluån is a small river in central Sweden that flows through the town of Falun, historically associated with the region’s mining industry and landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Faluån
Target entity description: Faluån is a small river in central Sweden that flows through the town of Falun, historically associated with the region’s mining industry and landscape.
  • A. Löningen
    Löningen is a small town and municipality in Lower Saxony, Germany, known for its rural character and location within the Cloppenburg district.
  • B. Kastlösa
    Kastlösa is a small village on the island of Öland in southeastern Sweden, known for its rural landscape and traditional agricultural surroundings.
  • C. Korsnäs
    Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
  • D. Finnås
    Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
  • E. Torgny
    Torgny is a masculine given name of Scandinavian origin, most notably borne by the Swedish author Torgny Lindgren.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb22e388190904fc87765176c91 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac98ca448190b585ef69a4e4bfca completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbae8f83f481909ac16d4bb66ea79d completed May 6, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_69fbaf702c94819095347e2599ae9931 completed May 6, 2026, 9:15 p.m.
Created at: April 9, 2026, 10:18 p.m.