Triple
T408037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massif Central |
E9424
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Velay
Velay is a historical and geographical region in south-central France, known for its volcanic landscapes, traditional agriculture, and medieval heritage within the broader Massif Central area.
|
E61412
|
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: Velay | Statement: [Massif Central, contains, Velay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Velay Context triple: [Massif Central, contains, Velay]
-
A.
Vallauris
Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
-
B.
Monthélie
Monthélie is a small wine-producing village in Burgundy’s Côte de Beaune, known for its elegant red and white wines made primarily from Pinot Noir and Chardonnay.
-
C.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
-
D.
Eygues
Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
-
E.
Veyrier
Veyrier is a municipality in southwestern Switzerland located just outside the city of Geneva, near the French border.
- 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: Velay Triple: [Massif Central, contains, Velay]
Generated description
Velay is a historical and geographical region in south-central France, known for its volcanic landscapes, traditional agriculture, and medieval heritage within the broader Massif Central area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Velay Target entity description: Velay is a historical and geographical region in south-central France, known for its volcanic landscapes, traditional agriculture, and medieval heritage within the broader Massif Central area.
-
A.
Vallauris
Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
-
B.
Monthélie
Monthélie is a small wine-producing village in Burgundy’s Côte de Beaune, known for its elegant red and white wines made primarily from Pinot Noir and Chardonnay.
-
C.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
-
D.
Eygues
Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
-
E.
Veyrier
Veyrier is a municipality in southwestern Switzerland located just outside the city of Geneva, near the French border.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ecbf0650819080753815ca280eec |
completed | Feb. 28, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a477785b848190a1a09d20d94ceed5 |
completed | March 1, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69a47a2224cc81909a057c612d591bba |
completed | March 1, 2026, 5:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a47ab148fc8190a93d7e3c838583c2 |
completed | March 1, 2026, 5:43 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.