Triple
T5422906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Picard language |
E121293
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Ternois |
E223513
|
NE FINISHED |
How this triple was built (2 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: Ternois | Statement: [Picard language, hasDialect, Ternois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ternois Context triple: [Picard language, hasDialect, Ternois]
-
A.
Wattrelos
Wattrelos is a commune in northern France near the Belgian border, known historically for its textile industry and cross-border cultural ties.
-
B.
Comines
Comines is a town situated along the Lys River in the historic Flanders region on the border between France and Belgium.
-
C.
d’Oultremont
d’Oultremont is a noble Belgian family name historically associated with aristocratic lineages in Belgium.
-
D.
Trépail
Trépail is a wine-producing village in northeastern France’s Champagne region, noted for its Chardonnay vineyards on the slopes of the Montagne de Reims.
-
E.
Cambrésis
chosen
Cambrésis is a historic region in northern France centered around the city of Cambrai, known for its medieval bishopric and strategic importance in European conflicts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd8812f84c819094d8516f69fff83d |
completed | March 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3ab7f6b481908fead172fbdafe36 |
completed | March 22, 2026, 12:41 a.m. |
Created at: March 20, 2026, 2:06 p.m.