Triple

T11615786
Position Surface form Disambiguated ID Type / Status
Subject Haldenvassdraget E275502 entity
Predicate hasPart P35 FINISHED
Object Mjermen
Mjermen is a lake in southeastern Norway that forms part of the Haldenvassdraget watercourse system.
E935618 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: Mjermen | Statement: [Haldenvassdraget, hasPart, Mjermen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mjermen
Context triple: [Haldenvassdraget, hasPart, Mjermen]
  • A. Menmaatre
    Menmaatre was the throne name of the ancient Egyptian pharaoh Seti I of the Nineteenth Dynasty.
  • B. Maelstrom
    Maelstrom was a former boat ride attraction in Epcot’s World Showcase at Walt Disney World, themed around Norwegian culture, mythology, and seafaring adventures.
  • C. Maelström
    Maelström is a 2000 Canadian surrealist dark comedy-drama film written and directed by Denis Villeneuve that blends magical realism with a morally fraught, introspective narrative.
  • D. Melaskóli
    Melaskóli is a primary school located in the Vesturbær district of Reykjavík, Iceland.
  • E. Rypien
    Rypien is the surname of former NFL quarterback Mark Rypien, best known for leading the Washington Redskins to a Super Bowl XXVI victory and earning the game's MVP award.
  • 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: Mjermen
Triple: [Haldenvassdraget, hasPart, Mjermen]
Generated description
Mjermen is a lake in southeastern Norway that forms part of the Haldenvassdraget watercourse system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mjermen
Target entity description: Mjermen is a lake in southeastern Norway that forms part of the Haldenvassdraget watercourse system.
  • A. Menmaatre
    Menmaatre was the throne name of the ancient Egyptian pharaoh Seti I of the Nineteenth Dynasty.
  • B. Maelstrom
    Maelstrom was a former boat ride attraction in Epcot’s World Showcase at Walt Disney World, themed around Norwegian culture, mythology, and seafaring adventures.
  • C. Maelström
    Maelström is a 2000 Canadian surrealist dark comedy-drama film written and directed by Denis Villeneuve that blends magical realism with a morally fraught, introspective narrative.
  • D. Melaskóli
    Melaskóli is a primary school located in the Vesturbær district of Reykjavík, Iceland.
  • E. Rypien
    Rypien is the surname of former NFL quarterback Mark Rypien, best known for leading the Washington Redskins to a Super Bowl XXVI victory and earning the game's MVP award.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a04675e08190837a3717242fd0f9 completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a84924a0819084c43aeb7c57ac10 completed April 22, 2026, 10:51 a.m.
NEDg Description generation batch_69e8af972e90819096568e7ec2a34059 completed April 22, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_69e8b0aa21e0819090157b11309a84f6 completed April 22, 2026, 11:27 a.m.
Created at: April 8, 2026, 9:38 p.m.