Triple
T1687540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor of the French |
E36476
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Tuileries Palace |
E33658
|
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: Tuileries Palace | Statement: [Emperor of the French, seat, Tuileries Palace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuileries Palace Context triple: [Emperor of the French, seat, Tuileries Palace]
-
A.
Tuileries Palace
chosen
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.
Les Tuileries
Les Tuileries is a residential locality within the municipality of Thônex in the canton of Geneva, Switzerland.
-
C.
Tuileries Garden
The Tuileries Garden is a historic formal public park in central Paris, stretching between the Louvre Museum and Place de la Concorde and known for its elegant landscaping, statues, and promenades.
-
D.
Louvre Palace
The Louvre Palace is a historic former royal residence in Paris that now forms part of the world-famous Louvre Museum complex.
-
E.
Jardin du Luxembourg
Jardin du Luxembourg is a famous public park in Paris known for its formal gardens, statues, fountains, and the central pond where children sail model boats.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6294f5ac819089cf5c2530ec71a0 |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada976b6cc8190b1f50452a73e142a |
completed | March 8, 2026, 4:53 p.m. |
Created at: March 4, 2026, 7:29 p.m.