Triple
T17921564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Église Saint-Pierre, Valençay |
E448081
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Valençay
Valençay is a commune in central France renowned for its historic château and namesake goat cheese.
|
E1325081
|
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: Valençay | Statement: [Église Saint-Pierre, Valençay, locatedIn, Valençay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valençay Context triple: [Église Saint-Pierre, Valençay, locatedIn, Valençay]
-
A.
Calvé
Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
-
B.
Vézac
Vézac is a small French commune, best known for its picturesque Dordogne Valley setting and historic gardens such as the Jardins de Marqueyssac.
-
C.
Villeneuve-le-Comte
Villeneuve-le-Comte is a commune in the Seine-et-Marne department in the Île-de-France region of north-central France.
-
D.
Vouziers
Vouziers is a small commune in northeastern France known for its historical role in World War I and its location in the rural Ardennes region.
-
E.
Valtournenche
Valtournenche is a mountain village and commune in Italy’s Aosta Valley, known as a gateway to the Matterhorn and a popular destination for alpine climbing and skiing.
- 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: Valençay Triple: [Église Saint-Pierre, Valençay, locatedIn, Valençay]
Generated description
Valençay is a commune in central France renowned for its historic château and namesake goat cheese.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valençay Target entity description: Valençay is a commune in central France renowned for its historic château and namesake goat cheese.
-
A.
Calvé
Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
-
B.
Vézac
Vézac is a small French commune, best known for its picturesque Dordogne Valley setting and historic gardens such as the Jardins de Marqueyssac.
-
C.
Villeneuve-le-Comte
Villeneuve-le-Comte is a commune in the Seine-et-Marne department in the Île-de-France region of north-central France.
-
D.
Vouziers
Vouziers is a small commune in northeastern France known for its historical role in World War I and its location in the rural Ardennes region.
-
E.
Valtournenche
Valtournenche is a mountain village and commune in Italy’s Aosta Valley, known as a gateway to the Matterhorn and a popular destination for alpine climbing and skiing.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30a11748190be41361d108aee58 |
completed | April 19, 2026, 9:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040fc5bcac819085d6f513f5db158b |
completed | May 13, 2026, 5:44 a.m. |
| NEDg | Description generation | batch_6a04110811d081909638d9b6e88306cf |
completed | May 13, 2026, 5:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04116c6f14819084db2da960fef77a |
completed | May 13, 2026, 5:51 a.m. |
Created at: April 10, 2026, 10:20 a.m.