Triple
T13960364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevreuse Valley |
E335775
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Chevreuse
Chevreuse is a historic town in north-central France known for its picturesque setting in the Chevreuse Valley and its medieval Château de la Madeleine.
|
E1074617
|
NE FINISHED |
How this triple was built (4 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: Chevreuse | Statement: [Chevreuse Valley, hasTown, Chevreuse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chevreuse Context triple: [Chevreuse Valley, hasTown, Chevreuse]
-
A.
Cottévrard
Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
-
B.
La Bresse
La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
-
C.
d’Étanges
d’Étanges is the aristocratic family name borne by Julie d’Étanges, a central character in Goethe’s epistolary novel "The Sorrows of Young Werther."
-
D.
Tournelle
Tournelle refers to the historical riverside district and former tower area in Paris that gave its name to the Pont de la Tournelle.
-
E.
Cheneux
Cheneux is a small village in the municipality of Stoumont in the province of Liège, Belgium, known for its rural setting and World War II history.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chevreuse Triple: [Chevreuse Valley, hasTown, Chevreuse]
Generated description
Chevreuse is a historic town in north-central France known for its picturesque setting in the Chevreuse Valley and its medieval Château de la Madeleine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chevreuse Target entity description: Chevreuse is a historic town in north-central France known for its picturesque setting in the Chevreuse Valley and its medieval Château de la Madeleine.
-
A.
Cottévrard
Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
-
B.
La Bresse
La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
-
C.
d’Étanges
d’Étanges is the aristocratic family name borne by Julie d’Étanges, a central character in Goethe’s epistolary novel "The Sorrows of Young Werther."
-
D.
Tournelle
Tournelle refers to the historical riverside district and former tower area in Paris that gave its name to the Pont de la Tournelle.
-
E.
Cheneux
Cheneux is a small village in the municipality of Stoumont in the province of Liège, Belgium, known for its rural setting and World War II history.
- F. None of above. chosen
Provenance (5 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7b2f908190aa32f22298964746 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac8e47d48190a1d5e841810fe50c |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbae3d04f081908c8d28148b4f1de0 |
completed | May 6, 2026, 9:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaf41636c8190bf44bd238bd9d9a4 |
completed | May 6, 2026, 9:14 p.m. |
Created at: April 9, 2026, 10:17 p.m.