Triple
T3712550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antoine Coysevox |
E81448
|
entity |
| Predicate | workLocation |
P7
|
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: [Antoine Coysevox, workLocation, Versailles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Versailles Context triple: [Antoine Coysevox, workLocation, 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.
Château de Versailles
The Château de Versailles is a grand former royal palace near Paris, renowned for its opulent architecture, expansive gardens, and central role in French history and culture.
-
C.
Savoye
Savoye is a French surname most notably associated with the family who commissioned Le Corbusier’s iconic modernist Villa Savoye.
-
D.
La Brède
La Brède is a French commune in the Gironde department of southwestern France, best known as the birthplace of the philosopher Montesquieu and for its historic Château de La Brède.
-
E.
Saint-Germain-en-Laye
Saint-Germain-en-Laye is a historic town in the western suburbs of Paris, France, known for its royal château and long association with the French monarchy.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9cbc5648190936f93868086167e |
completed | March 8, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db0985fc819082ca97445b1b234e |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:33 p.m.