Triple
T5422900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Picard language |
E121293
|
entity |
| Predicate | countryVariant |
P63571
|
FINISHED |
| Object |
Belgian Picard
Belgian Picard is a regional variety of the Picard language spoken in parts of Belgium, particularly in areas bordering northern France.
|
E519672
|
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: Belgian Picard | Statement: [Picard language, countryVariant, Belgian Picard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belgian Picard Context triple: [Picard language, countryVariant, Belgian Picard]
-
A.
Marans
Marans is a French chicken breed renowned for its dark chocolate-brown eggs and dual-purpose use for both meat and egg production.
-
B.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
C.
French Hainaut
French Hainaut is the western, French-speaking portion of the historic Hainaut region, now located in northern France near the Belgian border.
-
D.
Langrois
Langrois is the French term for an inhabitant or native of the town of Langres in northeastern France.
-
E.
Saucats
Saucats is a commune in southwestern France’s Gironde department, known for its vineyards and location within the prestigious Pessac-Léognan wine-growing area.
- 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: Belgian Picard Triple: [Picard language, countryVariant, Belgian Picard]
Generated description
Belgian Picard is a regional variety of the Picard language spoken in parts of Belgium, particularly in areas bordering northern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Belgian Picard Target entity description: Belgian Picard is a regional variety of the Picard language spoken in parts of Belgium, particularly in areas bordering northern France.
-
A.
Marans
Marans is a French chicken breed renowned for its dark chocolate-brown eggs and dual-purpose use for both meat and egg production.
-
B.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
C.
French Hainaut
French Hainaut is the western, French-speaking portion of the historic Hainaut region, now located in northern France near the Belgian border.
-
D.
Langrois
Langrois is the French term for an inhabitant or native of the town of Langres in northeastern France.
-
E.
Saucats
Saucats is a commune in southwestern France’s Gironde department, known for its vineyards and location within the prestigious Pessac-Léognan wine-growing area.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91ae18cc8190aefe610f91b5382c |
completed | March 20, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3ab7f6b481908fead172fbdafe36 |
completed | March 22, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69bf3bc4b1e08190a7574b3ec67823e4 |
completed | March 22, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf3c4530288190924b4c38d7b1fb70 |
completed | March 22, 2026, 12:48 a.m. |
Created at: March 20, 2026, 2:06 p.m.