Triple
T838075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hôtel de Brienne |
E18114
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Hôtel des Invalides |
E61932
|
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: Hôtel des Invalides | Statement: [Hôtel de Brienne, near, Hôtel des Invalides]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hôtel des Invalides Context triple: [Hôtel de Brienne, near, Hôtel des Invalides]
-
A.
Hôtel des Invalides
chosen
The Hôtel des Invalides is a grand 17th-century complex in Paris that houses military museums, monuments, and Napoleon Bonaparte’s tomb.
-
B.
Louvre Palace
The Louvre Palace is a historic former royal residence in Paris that now forms part of the world-famous Louvre Museum complex.
-
C.
Palais du Champ de Mars
The Palais du Champ de Mars was a vast temporary exhibition hall in Paris constructed to host major displays and events during the 1878 Exposition Universelle.
-
D.
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.
-
E.
Gare des Invalides
Gare des Invalides is a central Paris railway and RER station located near Les Invalides and the Seine, serving as a key commuter hub on line C.
- 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abd0e8bc8190afe29cd4745c2f86 |
completed | March 1, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c0144a70819098aa4872a02b62b7 |
completed | March 4, 2026, 5:16 a.m. |
Created at: March 1, 2026, 7:38 p.m.