Triple

T5369442
Position Surface form Disambiguated ID Type / Status
Subject Lake Murten E108809 entity
Predicate hasIsland P970 FINISHED
Object Ile de la Motte
Île de la Motte is a small, wooded island in Lake Murten in western Switzerland, known as a local natural and recreational area.
 E515699 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: Ile de la Motte | Statement: [Lake Murten, hasIsland, Ile de la Motte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ile de la Motte
Context triple: [Lake Murten, hasIsland, Ile de la Motte]
  • A. Île de la Motte
    Île de la Motte is a small Swiss island located in Lake Neuchâtel, known for its natural scenery and tranquil setting.
  • B. Île Haute
    Île Haute is a remote subantarctic island that forms part of the French Kerguelen archipelago in the southern Indian Ocean.
  • C. Île de Cazeau
    Île de Cazeau is a small river island located in the Gironde estuary in southwestern France, known for its natural habitats and role in the estuarine landscape.
  • D. Île Saint-Étienne
    Île Saint-Étienne is a river island in the Seine that forms the historic core of the town of Melun in north-central France.
  • E. Île du Ramier
    Île du Ramier is a river island in Toulouse, France, known as a major recreational and sports area within the Garonne 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: Ile de la Motte
Triple: [Lake Murten, hasIsland, Ile de la Motte]
Generated description
Île de la Motte is a small, wooded island in Lake Murten in western Switzerland, known as a local natural and recreational area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ile de la Motte
Target entity description: Île de la Motte is a small, wooded island in Lake Murten in western Switzerland, known as a local natural and recreational area.
  • A. Île de la Motte
    Île de la Motte is a small Swiss island located in Lake Neuchâtel, known for its natural scenery and tranquil setting.
  • B. Île Haute
    Île Haute is a remote subantarctic island that forms part of the French Kerguelen archipelago in the southern Indian Ocean.
  • C. Île de Cazeau
    Île de Cazeau is a small river island located in the Gironde estuary in southwestern France, known for its natural habitats and role in the estuarine landscape.
  • D. Île Saint-Étienne
    Île Saint-Étienne is a river island in the Seine that forms the historic core of the town of Melun in north-central France.
  • E. Île du Ramier
    Île du Ramier is a river island in Toulouse, France, known as a major recreational and sports area within the Garonne 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86873e0c8190bf5ecede2cc2bd8b completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf292c4d1c819088f7b977ac212688 completed March 21, 2026, 11:26 p.m.
NEDg Description generation batch_69bf29d11d2c819095ce493c8866f624 completed March 21, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_69bf2aa2a1688190bc41eb5e259d7d1f completed March 21, 2026, 11:32 p.m.
Created at: March 20, 2026, 2:02 p.m.