Triple

T9438043
Position Surface form Disambiguated ID Type / Status
Subject Leopold Louis Philippe Marie Victor E227565 entity
Predicate monogram P16921 FINISHED
Object L II
L II is the royal monogram used by King Leopold II of Belgium, typically combining his initial and regnal number in a stylized emblem.
E799781 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: L II | Statement: [Leopold Louis Philippe Marie Victor, monogram, L II]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: L II
Context triple: [Leopold Louis Philippe Marie Victor, monogram, L II]
  • A. L2
    L2 is the second Sun–Earth Lagrange point, a gravitationally stable location in space used by space telescopes such as the James Webb Space Telescope for observation.
  • B. L2
    L2 is the common shorthand for Ligue 2, the second tier of professional football in the French league system.
  • C. L
    The L is a New York City Subway line that runs crosstown through Manhattan and into Brooklyn, including service to neighborhoods such as Canarsie.
  • D. L
    L is a Swedish liberal political party known for advocating individual freedom, social responsibility, and pro-European policies.
  • E. L
    L is a light rail service line in San Francisco’s Muni Metro system.
  • 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: L II
Triple: [Leopold Louis Philippe Marie Victor, monogram, L II]
Generated description
L II is the royal monogram used by King Leopold II of Belgium, typically combining his initial and regnal number in a stylized emblem.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: L II
Target entity description: L II is the royal monogram used by King Leopold II of Belgium, typically combining his initial and regnal number in a stylized emblem.
  • A. L2
    L2 is the second Sun–Earth Lagrange point, a gravitationally stable location in space used by space telescopes such as the James Webb Space Telescope for observation.
  • B. L2
    L2 is the common shorthand for Ligue 2, the second tier of professional football in the French league system.
  • C. L
    L is the enigmatic, emotionally complex protagonist of Hanne Ørstavik’s novel "Love," whose inner life and perspective drive the story’s exploration of isolation and longing.
  • D. L
    The L is a New York City Subway line that runs crosstown through Manhattan and into Brooklyn, including service to neighborhoods such as Canarsie.
  • E. L
    L is a Swedish liberal political party known for advocating individual freedom, social responsibility, and pro-European policies.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7edff5e881909b72976e8909ba4b completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11053d8008190a29575149d2e027f completed April 4, 2026, 1:21 p.m.
NEDg Description generation batch_69d111a770c881909a2902d36cd7913c completed April 4, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69d112634fb48190b4c7e9d997d27928 completed April 4, 2026, 1:30 p.m.
Created at: March 30, 2026, 7:50 p.m.