Triple

T11206560
Position Surface form Disambiguated ID Type / Status
Subject Marne-la-Vallée E265178 entity
Predicate hasPart P35 FINISHED
Object Lognes
Lognes is a suburban commune in the eastern outskirts of Paris, France, known for its lakeside setting and role within the planned new town of Marne-la-Vallée.
 E911849 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: Lognes | Statement: [Marne-la-Vallée, hasPart, Lognes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lognes
Context triple: [Marne-la-Vallée, hasPart, Lognes]
  • A. Loen
    Loen is a small settlement located on Namu Atoll in the Marshall Islands, a remote Pacific island nation.
  • B. Bolligen
    Bolligen is a Swiss municipality in the canton of Bern, known as a residential community on the outskirts of the city of Bern.
  • C. Finse
    Finse is a remote mountain village and railway station in Norway, known as the highest point on the Bergen Line and a popular base for hiking and glacier activities.
  • D. Jogne
    Jogne is a river in western Switzerland that flows through the canton of Fribourg before joining the Sarine.
  • E. Buochs
    Buochs is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and proximity to the Alps in central Switzerland.
  • 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: Lognes
Triple: [Marne-la-Vallée, hasPart, Lognes]
Generated description
Lognes is a suburban commune in the eastern outskirts of Paris, France, known for its lakeside setting and role within the planned new town of Marne-la-Vallée.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lognes
Target entity description: Lognes is a suburban commune in the eastern outskirts of Paris, France, known for its lakeside setting and role within the planned new town of Marne-la-Vallée.
  • A. Loen
    Loen is a small settlement located on Namu Atoll in the Marshall Islands, a remote Pacific island nation.
  • B. Bolligen
    Bolligen is a Swiss municipality in the canton of Bern, known as a residential community on the outskirts of the city of Bern.
  • C. Finse
    Finse is a remote mountain village and railway station in Norway, known as the highest point on the Bergen Line and a popular base for hiking and glacier activities.
  • D. Jogne
    Jogne is a river in western Switzerland that flows through the canton of Fribourg before joining the Sarine.
  • E. Buochs
    Buochs is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and proximity to the Alps in central Switzerland.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d4eef88190a7f05bca82d919b9 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4973a1b288190bacdf56f8d4977bd completed April 19, 2026, 8:50 a.m.
NEDg Description generation batch_69e49c0a92b08190ac5debb7d67ca776 completed April 19, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69e49e8dc4ec81908d0defe77827d197 completed April 19, 2026, 9:21 a.m.
Created at: April 8, 2026, 9:30 p.m.