Triple
T13840670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Machine de Marly |
E332646
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Marly-le-Roi |
E221655
|
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: Marly-le-Roi | Statement: [Machine de Marly, locatedNear, Marly-le-Roi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marly-le-Roi Context triple: [Machine de Marly, locatedNear, Marly-le-Roi]
-
A.
Marly-le-Roi
chosen
Marly-le-Roi is a historic suburban town in the Île-de-France region near Paris, known for its royal park, former royal residence, and picturesque landscapes that attracted Impressionist painters.
-
B.
Meyriez
Meyriez is a small municipality in the canton of Fribourg in western Switzerland, situated on the shores of Lake Murten.
-
C.
Sury-en-Vaux
Sury-en-Vaux is a small rural commune in the Cher department of central France, known for its vineyards and traditional countryside setting.
-
D.
Libercourt
Libercourt is a commune in the Pas-de-Calais department in northern France, historically known as a coal-mining town.
-
E.
Verzenay
Verzenay is a renowned Grand Cru wine-producing village in France’s Champagne region, particularly noted for its Pinot Noir vineyards on the Montagne de Reims.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02ae5e4c8190ad85ad2968bc71b2 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe729a48288190bf24503af6522677 |
completed | May 8, 2026, 11:32 p.m. |
Created at: April 9, 2026, 10:13 p.m.