Triple
T494357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AAE |
E10257
|
entity |
| Predicate | garrison |
P75
|
FINISHED |
| Object | Hôtel de Brienne |
E18114
|
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 de Brienne | Statement: [AAE, garrison, Hôtel de Brienne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hôtel de Brienne Context triple: [AAE, garrison, Hôtel de Brienne]
-
A.
Château de Boncourt
Château de Boncourt was a French estate best known as the birthplace of the German Romantic poet and botanist Adelbert von Chamisso.
-
B.
Maison Guiette
Maison Guiette is a modernist residential building in Antwerp, Belgium, designed by Le Corbusier and recognized as part of his UNESCO World Heritage-listed works.
-
C.
Hôtel de Brienne, Paris
chosen
The Hôtel de Brienne in Paris is a historic 18th-century mansion that serves as France’s Ministry of the Armed Forces and a key military administrative headquarters.
-
D.
Brienne-le-Château
Brienne-le-Château is a commune in northeastern France best known as the town where Napoleon Bonaparte attended military school in his youth.
-
E.
Hôtel de Salm
The Hôtel de Salm is a prominent neoclassical palace in Paris that serves as the historic seat of France’s Légion d'honneur.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f0fbfa408190aeb3b93996a35c00 |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a47d2c33bc81909d0743ca3ef96c00 |
completed | March 1, 2026, 5:53 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.