Triple
T14481678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walser culture |
E359115
|
entity |
| Predicate | hasNotableCenter |
P6682
|
FINISHED |
| Object |
Gressoney
Gressoney is a mountain community in the Italian Alps known as a key center of Walser culture, language, and traditions.
|
E1103203
|
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: Gressoney | Statement: [Walser culture, hasNotableCenter, Gressoney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gressoney Context triple: [Walser culture, hasNotableCenter, Gressoney]
-
A.
Gressy
Gressy is a small French commune located in the Île-de-France region, known for its residential character and proximity to Paris and Charles de Gaulle Airport.
-
B.
Moreuil
Moreuil is a small commune in northern France, located in the Somme department in the Hauts-de-France region.
-
C.
Chevenoz
Chevenoz is a small rural commune in the Haute-Savoie department of southeastern France, situated in the Alpine Vallée d’Abondance near the Swiss border.
-
D.
Montagnieu
Montagnieu is a commune in the Ain department of eastern France, situated within the historic wine-producing area of Bugey.
-
E.
Chamrousse
Chamrousse is a French alpine ski resort and mountain commune in the Alps, known for its winter sports facilities and scenic high-altitude landscapes.
- 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: Gressoney Triple: [Walser culture, hasNotableCenter, Gressoney]
Generated description
Gressoney is a mountain community in the Italian Alps known as a key center of Walser culture, language, and traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gressoney Target entity description: Gressoney is a mountain community in the Italian Alps known as a key center of Walser culture, language, and traditions.
-
A.
Gressy
Gressy is a small French commune located in the Île-de-France region, known for its residential character and proximity to Paris and Charles de Gaulle Airport.
-
B.
Moreuil
Moreuil is a small commune in northern France, located in the Somme department in the Hauts-de-France region.
-
C.
Chevenoz
Chevenoz is a small rural commune in the Haute-Savoie department of southeastern France, situated in the Alpine Vallée d’Abondance near the Swiss border.
-
D.
Montagnieu
Montagnieu is a commune in the Ain department of eastern France, situated within the historic wine-producing area of Bugey.
-
E.
Chamrousse
Chamrousse is a French alpine ski resort and mountain commune in the Alps, known for its winter sports facilities and scenic high-altitude landscapes.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924bc548819087a2f693840d7426 |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d8ccd608190afd23c903cd5686a |
completed | May 8, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69fd6fcdc2008190869b5fb17b2b8b28 |
completed | May 8, 2026, 5:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd708521c881909863b7cd3fc4a313 |
completed | May 8, 2026, 5:11 a.m. |
Created at: April 10, 2026, 1:20 a.m.