Triple
T1498953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jèrriais |
E29750
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Jersey Norman French |
E29750
|
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: Jersey Norman French | Statement: [Jèrriais, hasAlternativeName, Jersey Norman French]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jersey Norman French Context triple: [Jèrriais, hasAlternativeName, Jersey Norman French]
-
A.
Jèrriais
chosen
Jèrriais is a Norman Romance language traditionally spoken on the island of Jersey in the Channel Islands.
-
B.
Breton
Breton is a Celtic language spoken primarily in Brittany, France, known for its close relation to Cornish and Welsh.
-
C.
Normandy
Normandy is a historic region in northern France, famous for its medieval duchy, its role in the Norman Conquest of England, and as the site of the D-Day landings in World War II.
-
D.
Guernsey Legal French
Guernsey Legal French is a specialized variety of French used historically in the legal system of Guernsey, preserving many archaic Norman and Anglo-Norman features.
-
E.
Guernésiais
Guernésiais is a Norman language variety traditionally spoken on the Channel Island of Guernsey and its surrounding islets.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6f0ce988190aafab4a6e0dfd710 |
completed | March 1, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1cb19b708190a28b1a0037860202 |
completed | March 8, 2026, 6:52 a.m. |
Created at: March 1, 2026, 8:12 p.m.