Triple
T37347682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nougat de Montélimar |
E927226
|
entity |
| Predicate | productionLinkedTo |
P46755
|
FINISHED |
| Object |
Montélimar area
The Montélimar area is a region in southeastern France renowned as the traditional center of production for its famous nougat confection.
|
E2224256
|
NE FINISHED |
How this triple was built (3 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: Montélimar area | Statement: [Nougat de Montélimar, productionLinkedTo, Montélimar area]
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: Montélimar area Triple: [Nougat de Montélimar, productionLinkedTo, Montélimar area]
Generated description
The Montélimar area is a region in southeastern France renowned as the traditional center of production for its famous nougat confection.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionLinkedTo Context triple: [Nougat de Montélimar, productionLinkedTo, Montélimar area]
-
A.
associatedProduction
chosen
Indicates that there is a related or connected production (such as a work, performance, or manufacturing process) linked to the subject entity.
-
B.
productionBy
Indicates that something is created, manufactured, or generated by a particular agent, organization, or process.
-
C.
productionShare
Indicates the proportion of total production that is attributed to a particular entity (such as a firm, region, or technology) within a defined scope.
-
D.
producerProject
Indicates that an entity serves as the producer or production company responsible for creating or overseeing a particular project.
-
E.
producerOfWork
Indicates that one entity is the creator or originator responsible for producing a particular work.
- F. None of above.
Provenance (6 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_69f76eb5e034819088e53ab5b7909a68 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff289541e0819096eeceb8e6332650 |
completed | May 9, 2026, 12:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a406cdcdacc81908a3c06af953ea0eb |
completed | June 28, 2026, 12:37 a.m. |
| NEDg | Description generation | batch_6a406e1111c08190af357e4e318772ba |
completed | June 28, 2026, 12:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a406ed77a5c819091554d7e4561aa0b |
completed | June 28, 2026, 12:46 a.m. |
| PD | Predicate disambiguation | batch_69ff281ab1988190920f0443be9f10cc |
completed | May 9, 2026, 12:27 p.m. |
Created at: May 3, 2026, 4:16 p.m.