Triple

T15220217
Position Surface form Disambiguated ID Type / Status
Subject Alingsås E363745 entity
Predicate hasRiver P165 FINISHED
Object Säveån
Säveån is a river in western Sweden that flows through the town of Alingsås before continuing toward Gothenburg and the Göta älv.
 E1144037 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: Säveån | Statement: [Alingsås, hasRiver, Säveån]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Säveån
Context triple: [Alingsås, hasRiver, Säveån]
  • A. Bäveån
    Bäveån is a river in western Sweden that flows through the town of Uddevalla before reaching the fjord-rich Bohuslän coast.
  • B. Munksjöån
    Munksjöån is a river in Jönköping, Sweden, that drains Lake Munksjön and flows toward Lake Vättern through the city.
  • C. Eskilstunaån
    Eskilstunaån is a river in central Sweden that drains Lake Hjälmaren and flows westward through the city of Eskilstuna toward Lake Mälaren.
  • D. Trosaån
    Trosaån is a small river in eastern Sweden that flows through the town of Trosa and into the Baltic Sea, known for its scenic, tranquil character.
  • E. Skellefte River
    The Skellefte River is a major river in northern Sweden that flows through Västerbotten County to the Gulf of Bothnia and has historically supported regional mining, hydropower, and settlement.
  • 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: Säveån
Triple: [Alingsås, hasRiver, Säveån]
Generated description
Säveån is a river in western Sweden that flows through the town of Alingsås before continuing toward Gothenburg and the Göta älv.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Säveån
Target entity description: Säveån is a river in western Sweden that flows through the town of Alingsås before continuing toward Gothenburg and the Göta älv.
  • A. Bäveån
    Bäveån is a river in western Sweden that flows through the town of Uddevalla before reaching the fjord-rich Bohuslän coast.
  • B. Munksjöån
    Munksjöån is a river in Jönköping, Sweden, that drains Lake Munksjön and flows toward Lake Vättern through the city.
  • C. Eskilstunaån
    Eskilstunaån is a river in central Sweden that drains Lake Hjälmaren and flows westward through the city of Eskilstuna toward Lake Mälaren.
  • D. Trosaån
    Trosaån is a small river in eastern Sweden that flows through the town of Trosa and into the Baltic Sea, known for its scenic, tranquil character.
  • E. Skellefte River
    The Skellefte River is a major river in northern Sweden that flows through Västerbotten County to the Gulf of Bothnia and has historically supported regional mining, hydropower, and settlement.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007709d3881908384f0fe1e0218d0 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed345d58c81908a8fd182c0fe7c15 completed May 9, 2026, 6:25 a.m.
NEDg Description generation batch_69fed7620d948190858c3b4acae0cbf5 completed May 9, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69fed7d9934c8190bd2d00830e5d33bb completed May 9, 2026, 6:44 a.m.
Created at: April 10, 2026, 3:11 a.m.