Triple
T4490205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valdigne |
E107352
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Pré-Saint-Didier
Pré-Saint-Didier is a mountain village and spa resort in Italy’s Aosta Valley, known for its thermal baths and views of the Mont Blanc massif.
|
E458193
|
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: Pré-Saint-Didier | Statement: [Valdigne, contains, Pré-Saint-Didier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pré-Saint-Didier Context triple: [Valdigne, contains, Pré-Saint-Didier]
-
A.
Chiroubles
Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
-
B.
Bourgoin-Jallieu
Bourgoin-Jallieu is a commune in southeastern France known as an important commercial and transport hub in the Isère department, northeast of Lyon.
-
C.
Échirolles
Échirolles is a suburban commune in southeastern France, forming part of the Grenoble metropolitan area in the Isère department.
-
D.
Bilhères
Bilhères is a small mountain village in southwestern France, situated in the Ossau Valley of the Pyrenees.
-
E.
Cessy
Cessy is a small commune in eastern France near the Swiss border, known for its proximity to Geneva and the CERN research center.
- 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: Pré-Saint-Didier Triple: [Valdigne, contains, Pré-Saint-Didier]
Generated description
Pré-Saint-Didier is a mountain village and spa resort in Italy’s Aosta Valley, known for its thermal baths and views of the Mont Blanc massif.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pré-Saint-Didier Target entity description: Pré-Saint-Didier is a mountain village and spa resort in Italy’s Aosta Valley, known for its thermal baths and views of the Mont Blanc massif.
-
A.
Chiroubles
Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
-
B.
Bourgoin-Jallieu
Bourgoin-Jallieu is a commune in southeastern France known as an important commercial and transport hub in the Isère department, northeast of Lyon.
-
C.
Échirolles
Échirolles is a suburban commune in southeastern France, forming part of the Grenoble metropolitan area in the Isère department.
-
D.
Bilhères
Bilhères is a small mountain village in southwestern France, situated in the Ossau Valley of the Pyrenees.
-
E.
Cessy
Cessy is a small commune in eastern France near the Swiss border, known for its proximity to Geneva and the CERN research center.
- 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_69bd43f84f788190a1383579c4a595be |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd556d29f08190bab1e872dd7e819f |
completed | March 20, 2026, 2:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa0cf7bc81908fbe7f2e723a0784 |
completed | March 21, 2026, 1:53 a.m. |
| NEDg | Description generation | batch_69bdfb36a18481908bb566db970b101a |
completed | March 21, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfbc9bea48190a8a0bf13c6fa7191 |
completed | March 21, 2026, 2 a.m. |
Created at: March 20, 2026, 12:59 p.m.