Triple
T162382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Revolution |
E3314
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Versailles |
E9321
|
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: Versailles | Statement: [French Revolution, location, Versailles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Versailles Context triple: [French Revolution, location, Versailles]
-
A.
Versailles
chosen
Versailles is a historic French city best known for the opulent Palace of Versailles, a former royal residence and a symbol of absolute monarchy and French cultural grandeur.
-
B.
Reims
Reims is a historic city in northeastern France known for its Gothic cathedral, role in French coronations, and significance during both World Wars.
-
C.
Vichy
Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
-
D.
Chantilly
Chantilly is a suburban community in Fairfax County, Virginia, known for its proximity to Washington, D.C., Dulles International Airport, and the Smithsonian’s National Air and Space Museum Steven F. Udvar-Hazy Center.
-
E.
Château de la Muette
Château de la Muette is a historic former royal residence in Paris that now serves as the headquarters of the Organisation for Economic Co-operation and Development (OECD).
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2585877648190a2ec320182a69343 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2e3bf71ac819085b47fd03c853d9e |
completed | Feb. 28, 2026, 12:46 p.m. |
Created at: Feb. 28, 2026, 2:31 a.m.