Triple
T566538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis XIII of France |
E13564
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Louvre Palace |
E6963
|
NE FINISHED |
How this triple was built (2 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: Louvre Palace | Statement: [Louis XIII of France, residence, Louvre Palace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louvre Palace Context triple: [Louis XIII of France, residence, Louvre Palace]
-
A.
Tuileries Palace
The Tuileries Palace was a former royal and imperial residence in Paris that served as a central seat of French power until its destruction in the 19th century.
-
B.
Palais du Luxembourg
The Palais du Luxembourg is a historic Parisian palace that has served as a seat of French political power and now houses the French Senate.
-
C.
Petit Palais
Petit Palais is a Beaux-Arts museum in Paris that houses the City of Paris Museum of Fine Arts, renowned for its collections of paintings, sculptures, and decorative arts.
-
D.
Hôtel des Invalides
The Hôtel des Invalides is a grand 17th-century complex in Paris that houses military museums, monuments, and Napoleon Bonaparte’s tomb.
-
E.
Louvre Museum
chosen
The Louvre Museum is one of the world’s largest and most visited art museums, renowned for its vast collection spanning thousands of years, including masterpieces like the Mona Lisa and the Venus de Milo.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b01aca48190944408d066519149 |
completed | March 1, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a51035ebc48190b51f2148cb51a20f |
completed | March 2, 2026, 4:21 a.m. |
Created at: March 1, 2026, 7:32 p.m.