Triple
T2829937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longwy |
E62210
|
entity |
| Predicate | localDialect |
P1762
|
FINISHED |
| Object | Lorrain |
E118850
|
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: Lorrain | Statement: [Longwy, localDialect, Lorrain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorrain Context triple: [Longwy, localDialect, Lorrain]
-
A.
Lorrain
chosen
Lorrain is a Romance regional language spoken in parts of eastern France and neighboring areas of Belgium, including the Walloon region.
-
B.
Montesson
Montesson is a suburban commune in the Yvelines department of north-central France, located to the northwest of Paris along the Seine River.
-
C.
Brévands
Brévands is a former commune in the Manche department of northwestern France, now part of the larger municipality of Carentan-les-Marais.
-
D.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
E.
de Vimeur
De Vimeur is a French noble family name most notably borne by Jean-Baptiste Donatien de Vimeur, comte de Rochambeau, a key French general in the American Revolutionary War.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebbde4881908dfa78e28c7018e0 |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceb4f3ec8190987afb7a2ac302e2 |
completed | March 10, 2026, 7:56 a.m. |
Created at: March 6, 2026, 10:01 p.m.