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.