Triple

T13710692
Position Surface form Disambiguated ID Type / Status
Subject Växjö E328762 entity
Predicate hasBodyOfWater P1778 FINISHED
Object Trummen
Trummen is a lake located in or near the city of Växjö in southern Sweden.
E1056558 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: Trummen | Statement: [Växjö, hasBodyOfWater, Trummen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trummen
Context triple: [Växjö, hasBodyOfWater, Trummen]
  • A. Kestenholz
    Kestenholz is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
  • B. How Wood
    How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
  • C. De Wood
    De Wood is a specific variant or form of wood distinguished from the general category of wood materials.
  • D. Tanne
    Tanne is a small village in the Harz region of central Germany, now part of the town of Oberharz am Brocken.
  • E. Treene
    The Treene is a river in northern Germany that flows through the state of Schleswig-Holstein and ultimately drains into the Eider River.
  • 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: Trummen
Triple: [Växjö, hasBodyOfWater, Trummen]
Generated description
Trummen is a lake located in or near the city of Växjö in southern Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Trummen
Target entity description: Trummen is a lake located in or near the city of Växjö in southern Sweden.
  • A. Kestenholz
    Kestenholz is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
  • B. How Wood
    How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
  • C. De Wood
    De Wood is a specific variant or form of wood distinguished from the general category of wood materials.
  • D. Tanne
    Tanne is a small village in the Harz region of central Germany, now part of the town of Oberharz am Brocken.
  • E. Treene
    The Treene is a river in northern Germany that flows through the state of Schleswig-Holstein and ultimately drains into the Eider River.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43949e6c8190ae5e4fa119cde33a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d54a68081908df25edf6d5df362 completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f79e1a90408190936cb71e567e10aa completed May 3, 2026, 7:12 p.m.
NED2 Entity disambiguation (via description) batch_69f79ee74ea48190a4c753b12bb9190e completed May 3, 2026, 7:15 p.m.
Created at: April 9, 2026, 9:54 p.m.