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.